diff options
Diffstat (limited to 'src/main/jni/libwebp/dsp/lossless.c')
-rw-r--r-- | src/main/jni/libwebp/dsp/lossless.c | 1639 |
1 files changed, 1639 insertions, 0 deletions
diff --git a/src/main/jni/libwebp/dsp/lossless.c b/src/main/jni/libwebp/dsp/lossless.c new file mode 100644 index 000000000..a1bf3584b --- /dev/null +++ b/src/main/jni/libwebp/dsp/lossless.c @@ -0,0 +1,1639 @@ +// Copyright 2012 Google Inc. All Rights Reserved. +// +// Use of this source code is governed by a BSD-style license +// that can be found in the COPYING file in the root of the source +// tree. An additional intellectual property rights grant can be found +// in the file PATENTS. All contributing project authors may +// be found in the AUTHORS file in the root of the source tree. +// ----------------------------------------------------------------------------- +// +// Image transforms and color space conversion methods for lossless decoder. +// +// Authors: Vikas Arora (vikaas.arora@gmail.com) +// Jyrki Alakuijala (jyrki@google.com) +// Urvang Joshi (urvang@google.com) + +#include "./dsp.h" + +#include <math.h> +#include <stdlib.h> +#include "../dec/vp8li.h" +#include "../utils/endian_inl.h" +#include "./lossless.h" +#include "./yuv.h" + +#define MAX_DIFF_COST (1e30f) + +// lookup table for small values of log2(int) +const float kLog2Table[LOG_LOOKUP_IDX_MAX] = { + 0.0000000000000000f, 0.0000000000000000f, + 1.0000000000000000f, 1.5849625007211560f, + 2.0000000000000000f, 2.3219280948873621f, + 2.5849625007211560f, 2.8073549220576041f, + 3.0000000000000000f, 3.1699250014423121f, + 3.3219280948873621f, 3.4594316186372973f, + 3.5849625007211560f, 3.7004397181410921f, + 3.8073549220576041f, 3.9068905956085187f, + 4.0000000000000000f, 4.0874628412503390f, + 4.1699250014423121f, 4.2479275134435852f, + 4.3219280948873626f, 4.3923174227787606f, + 4.4594316186372973f, 4.5235619560570130f, + 4.5849625007211560f, 4.6438561897747243f, + 4.7004397181410917f, 4.7548875021634682f, + 4.8073549220576037f, 4.8579809951275718f, + 4.9068905956085187f, 4.9541963103868749f, + 5.0000000000000000f, 5.0443941193584533f, + 5.0874628412503390f, 5.1292830169449663f, + 5.1699250014423121f, 5.2094533656289501f, + 5.2479275134435852f, 5.2854022188622487f, + 5.3219280948873626f, 5.3575520046180837f, + 5.3923174227787606f, 5.4262647547020979f, + 5.4594316186372973f, 5.4918530963296747f, + 5.5235619560570130f, 5.5545888516776376f, + 5.5849625007211560f, 5.6147098441152083f, + 5.6438561897747243f, 5.6724253419714951f, + 5.7004397181410917f, 5.7279204545631987f, + 5.7548875021634682f, 5.7813597135246599f, + 5.8073549220576037f, 5.8328900141647412f, + 5.8579809951275718f, 5.8826430493618415f, + 5.9068905956085187f, 5.9307373375628866f, + 5.9541963103868749f, 5.9772799234999167f, + 6.0000000000000000f, 6.0223678130284543f, + 6.0443941193584533f, 6.0660891904577720f, + 6.0874628412503390f, 6.1085244567781691f, + 6.1292830169449663f, 6.1497471195046822f, + 6.1699250014423121f, 6.1898245588800175f, + 6.2094533656289501f, 6.2288186904958804f, + 6.2479275134435852f, 6.2667865406949010f, + 6.2854022188622487f, 6.3037807481771030f, + 6.3219280948873626f, 6.3398500028846243f, + 6.3575520046180837f, 6.3750394313469245f, + 6.3923174227787606f, 6.4093909361377017f, + 6.4262647547020979f, 6.4429434958487279f, + 6.4594316186372973f, 6.4757334309663976f, + 6.4918530963296747f, 6.5077946401986963f, + 6.5235619560570130f, 6.5391588111080309f, + 6.5545888516776376f, 6.5698556083309478f, + 6.5849625007211560f, 6.5999128421871278f, + 6.6147098441152083f, 6.6293566200796094f, + 6.6438561897747243f, 6.6582114827517946f, + 6.6724253419714951f, 6.6865005271832185f, + 6.7004397181410917f, 6.7142455176661224f, + 6.7279204545631987f, 6.7414669864011464f, + 6.7548875021634682f, 6.7681843247769259f, + 6.7813597135246599f, 6.7944158663501061f, + 6.8073549220576037f, 6.8201789624151878f, + 6.8328900141647412f, 6.8454900509443747f, + 6.8579809951275718f, 6.8703647195834047f, + 6.8826430493618415f, 6.8948177633079437f, + 6.9068905956085187f, 6.9188632372745946f, + 6.9307373375628866f, 6.9425145053392398f, + 6.9541963103868749f, 6.9657842846620869f, + 6.9772799234999167f, 6.9886846867721654f, + 7.0000000000000000f, 7.0112272554232539f, + 7.0223678130284543f, 7.0334230015374501f, + 7.0443941193584533f, 7.0552824355011898f, + 7.0660891904577720f, 7.0768155970508308f, + 7.0874628412503390f, 7.0980320829605263f, + 7.1085244567781691f, 7.1189410727235076f, + 7.1292830169449663f, 7.1395513523987936f, + 7.1497471195046822f, 7.1598713367783890f, + 7.1699250014423121f, 7.1799090900149344f, + 7.1898245588800175f, 7.1996723448363644f, + 7.2094533656289501f, 7.2191685204621611f, + 7.2288186904958804f, 7.2384047393250785f, + 7.2479275134435852f, 7.2573878426926521f, + 7.2667865406949010f, 7.2761244052742375f, + 7.2854022188622487f, 7.2946207488916270f, + 7.3037807481771030f, 7.3128829552843557f, + 7.3219280948873626f, 7.3309168781146167f, + 7.3398500028846243f, 7.3487281542310771f, + 7.3575520046180837f, 7.3663222142458160f, + 7.3750394313469245f, 7.3837042924740519f, + 7.3923174227787606f, 7.4008794362821843f, + 7.4093909361377017f, 7.4178525148858982f, + 7.4262647547020979f, 7.4346282276367245f, + 7.4429434958487279f, 7.4512111118323289f, + 7.4594316186372973f, 7.4676055500829976f, + 7.4757334309663976f, 7.4838157772642563f, + 7.4918530963296747f, 7.4998458870832056f, + 7.5077946401986963f, 7.5156998382840427f, + 7.5235619560570130f, 7.5313814605163118f, + 7.5391588111080309f, 7.5468944598876364f, + 7.5545888516776376f, 7.5622424242210728f, + 7.5698556083309478f, 7.5774288280357486f, + 7.5849625007211560f, 7.5924570372680806f, + 7.5999128421871278f, 7.6073303137496104f, + 7.6147098441152083f, 7.6220518194563764f, + 7.6293566200796094f, 7.6366246205436487f, + 7.6438561897747243f, 7.6510516911789281f, + 7.6582114827517946f, 7.6653359171851764f, + 7.6724253419714951f, 7.6794800995054464f, + 7.6865005271832185f, 7.6934869574993252f, + 7.7004397181410917f, 7.7073591320808825f, + 7.7142455176661224f, 7.7210991887071855f, + 7.7279204545631987f, 7.7347096202258383f, + 7.7414669864011464f, 7.7481928495894605f, + 7.7548875021634682f, 7.7615512324444795f, + 7.7681843247769259f, 7.7747870596011736f, + 7.7813597135246599f, 7.7879025593914317f, + 7.7944158663501061f, 7.8008998999203047f, + 7.8073549220576037f, 7.8137811912170374f, + 7.8201789624151878f, 7.8265484872909150f, + 7.8328900141647412f, 7.8392037880969436f, + 7.8454900509443747f, 7.8517490414160571f, + 7.8579809951275718f, 7.8641861446542797f, + 7.8703647195834047f, 7.8765169465649993f, + 7.8826430493618415f, 7.8887432488982591f, + 7.8948177633079437f, 7.9008668079807486f, + 7.9068905956085187f, 7.9128893362299619f, + 7.9188632372745946f, 7.9248125036057812f, + 7.9307373375628866f, 7.9366379390025709f, + 7.9425145053392398f, 7.9483672315846778f, + 7.9541963103868749f, 7.9600019320680805f, + 7.9657842846620869f, 7.9715435539507719f, + 7.9772799234999167f, 7.9829935746943103f, + 7.9886846867721654f, 7.9943534368588577f +}; + +const float kSLog2Table[LOG_LOOKUP_IDX_MAX] = { + 0.00000000f, 0.00000000f, 2.00000000f, 4.75488750f, + 8.00000000f, 11.60964047f, 15.50977500f, 19.65148445f, + 24.00000000f, 28.52932501f, 33.21928095f, 38.05374781f, + 43.01955001f, 48.10571634f, 53.30296891f, 58.60335893f, + 64.00000000f, 69.48686830f, 75.05865003f, 80.71062276f, + 86.43856190f, 92.23866588f, 98.10749561f, 104.04192499f, + 110.03910002f, 116.09640474f, 122.21143267f, 128.38196256f, + 134.60593782f, 140.88144886f, 147.20671787f, 153.58008562f, + 160.00000000f, 166.46500594f, 172.97373660f, 179.52490559f, + 186.11730005f, 192.74977453f, 199.42124551f, 206.13068654f, + 212.87712380f, 219.65963219f, 226.47733176f, 233.32938445f, + 240.21499122f, 247.13338933f, 254.08384998f, 261.06567603f, + 268.07820003f, 275.12078236f, 282.19280949f, 289.29369244f, + 296.42286534f, 303.57978409f, 310.76392512f, 317.97478424f, + 325.21187564f, 332.47473081f, 339.76289772f, 347.07593991f, + 354.41343574f, 361.77497759f, 369.16017124f, 376.56863518f, + 384.00000000f, 391.45390785f, 398.93001188f, 406.42797576f, + 413.94747321f, 421.48818752f, 429.04981119f, 436.63204548f, + 444.23460010f, 451.85719280f, 459.49954906f, 467.16140179f, + 474.84249102f, 482.54256363f, 490.26137307f, 497.99867911f, + 505.75424759f, 513.52785023f, 521.31926438f, 529.12827280f, + 536.95466351f, 544.79822957f, 552.65876890f, 560.53608414f, + 568.42998244f, 576.34027536f, 584.26677867f, 592.20931226f, + 600.16769996f, 608.14176943f, 616.13135206f, 624.13628279f, + 632.15640007f, 640.19154569f, 648.24156472f, 656.30630539f, + 664.38561898f, 672.47935976f, 680.58738488f, 688.70955430f, + 696.84573069f, 704.99577935f, 713.15956818f, 721.33696754f, + 729.52785023f, 737.73209140f, 745.94956849f, 754.18016116f, + 762.42375127f, 770.68022275f, 778.94946161f, 787.23135586f, + 795.52579543f, 803.83267219f, 812.15187982f, 820.48331383f, + 828.82687147f, 837.18245171f, 845.54995518f, 853.92928416f, + 862.32034249f, 870.72303558f, 879.13727036f, 887.56295522f, + 896.00000000f, 904.44831595f, 912.90781569f, 921.37841320f, + 929.86002376f, 938.35256392f, 946.85595152f, 955.37010560f, + 963.89494641f, 972.43039537f, 980.97637504f, 989.53280911f, + 998.09962237f, 1006.67674069f, 1015.26409097f, 1023.86160116f, + 1032.46920021f, 1041.08681805f, 1049.71438560f, 1058.35183469f, + 1066.99909811f, 1075.65610955f, 1084.32280357f, 1092.99911564f, + 1101.68498204f, 1110.38033993f, 1119.08512727f, 1127.79928282f, + 1136.52274614f, 1145.25545758f, 1153.99735821f, 1162.74838989f, + 1171.50849518f, 1180.27761738f, 1189.05570047f, 1197.84268914f, + 1206.63852876f, 1215.44316535f, 1224.25654560f, 1233.07861684f, + 1241.90932703f, 1250.74862473f, 1259.59645914f, 1268.45278005f, + 1277.31753781f, 1286.19068338f, 1295.07216828f, 1303.96194457f, + 1312.85996488f, 1321.76618236f, 1330.68055071f, 1339.60302413f, + 1348.53355734f, 1357.47210556f, 1366.41862452f, 1375.37307041f, + 1384.33539991f, 1393.30557020f, 1402.28353887f, 1411.26926400f, + 1420.26270412f, 1429.26381818f, 1438.27256558f, 1447.28890615f, + 1456.31280014f, 1465.34420819f, 1474.38309138f, 1483.42941118f, + 1492.48312945f, 1501.54420843f, 1510.61261078f, 1519.68829949f, + 1528.77123795f, 1537.86138993f, 1546.95871952f, 1556.06319119f, + 1565.17476976f, 1574.29342040f, 1583.41910860f, 1592.55180020f, + 1601.69146137f, 1610.83805860f, 1619.99155871f, 1629.15192882f, + 1638.31913637f, 1647.49314911f, 1656.67393509f, 1665.86146266f, + 1675.05570047f, 1684.25661744f, 1693.46418280f, 1702.67836605f, + 1711.89913698f, 1721.12646563f, 1730.36032233f, 1739.60067768f, + 1748.84750254f, 1758.10076802f, 1767.36044551f, 1776.62650662f, + 1785.89892323f, 1795.17766747f, 1804.46271172f, 1813.75402857f, + 1823.05159087f, 1832.35537170f, 1841.66534438f, 1850.98148244f, + 1860.30375965f, 1869.63214999f, 1878.96662767f, 1888.30716711f, + 1897.65374295f, 1907.00633003f, 1916.36490342f, 1925.72943838f, + 1935.09991037f, 1944.47629506f, 1953.85856831f, 1963.24670620f, + 1972.64068498f, 1982.04048108f, 1991.44607117f, 2000.85743204f, + 2010.27454072f, 2019.69737440f, 2029.12591044f, 2038.56012640f +}; + +const VP8LPrefixCode kPrefixEncodeCode[PREFIX_LOOKUP_IDX_MAX] = { + { 0, 0}, { 0, 0}, { 1, 0}, { 2, 0}, { 3, 0}, { 4, 1}, { 4, 1}, { 5, 1}, + { 5, 1}, { 6, 2}, { 6, 2}, { 6, 2}, { 6, 2}, { 7, 2}, { 7, 2}, { 7, 2}, + { 7, 2}, { 8, 3}, { 8, 3}, { 8, 3}, { 8, 3}, { 8, 3}, { 8, 3}, { 8, 3}, + { 8, 3}, { 9, 3}, { 9, 3}, { 9, 3}, { 9, 3}, { 9, 3}, { 9, 3}, { 9, 3}, + { 9, 3}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, + {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, {10, 4}, + {10, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, + {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, {11, 4}, + {11, 4}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, + {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, + {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, + {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, {12, 5}, + {12, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, + {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, + {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, + {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, {13, 5}, + {13, 5}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, {14, 6}, + {14, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, {15, 6}, + {15, 6}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, {16, 7}, + {16, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, + {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, {17, 7}, +}; + +const uint8_t kPrefixEncodeExtraBitsValue[PREFIX_LOOKUP_IDX_MAX] = { + 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 2, 3, 0, 1, 2, 3, + 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, + 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, + 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, + 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, + 127, + 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, + 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, + 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, + 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, + 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, + 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, + 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, + 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126 +}; + +// The threshold till approximate version of log_2 can be used. +// Practically, we can get rid of the call to log() as the two values match to +// very high degree (the ratio of these two is 0.99999x). +// Keeping a high threshold for now. +#define APPROX_LOG_WITH_CORRECTION_MAX 65536 +#define APPROX_LOG_MAX 4096 +#define LOG_2_RECIPROCAL 1.44269504088896338700465094007086 +static float FastSLog2Slow(uint32_t v) { + assert(v >= LOG_LOOKUP_IDX_MAX); + if (v < APPROX_LOG_WITH_CORRECTION_MAX) { + int log_cnt = 0; + uint32_t y = 1; + int correction = 0; + const float v_f = (float)v; + const uint32_t orig_v = v; + do { + ++log_cnt; + v = v >> 1; + y = y << 1; + } while (v >= LOG_LOOKUP_IDX_MAX); + // vf = (2^log_cnt) * Xf; where y = 2^log_cnt and Xf < 256 + // Xf = floor(Xf) * (1 + (v % y) / v) + // log2(Xf) = log2(floor(Xf)) + log2(1 + (v % y) / v) + // The correction factor: log(1 + d) ~ d; for very small d values, so + // log2(1 + (v % y) / v) ~ LOG_2_RECIPROCAL * (v % y)/v + // LOG_2_RECIPROCAL ~ 23/16 + correction = (23 * (orig_v & (y - 1))) >> 4; + return v_f * (kLog2Table[v] + log_cnt) + correction; + } else { + return (float)(LOG_2_RECIPROCAL * v * log((double)v)); + } +} + +static float FastLog2Slow(uint32_t v) { + assert(v >= LOG_LOOKUP_IDX_MAX); + if (v < APPROX_LOG_WITH_CORRECTION_MAX) { + int log_cnt = 0; + uint32_t y = 1; + const uint32_t orig_v = v; + double log_2; + do { + ++log_cnt; + v = v >> 1; + y = y << 1; + } while (v >= LOG_LOOKUP_IDX_MAX); + log_2 = kLog2Table[v] + log_cnt; + if (orig_v >= APPROX_LOG_MAX) { + // Since the division is still expensive, add this correction factor only + // for large values of 'v'. + const int correction = (23 * (orig_v & (y - 1))) >> 4; + log_2 += (double)correction / orig_v; + } + return (float)log_2; + } else { + return (float)(LOG_2_RECIPROCAL * log((double)v)); + } +} + +//------------------------------------------------------------------------------ +// Image transforms. + +// Mostly used to reduce code size + readability +static WEBP_INLINE int GetMin(int a, int b) { return (a > b) ? b : a; } + +// In-place sum of each component with mod 256. +static WEBP_INLINE void AddPixelsEq(uint32_t* a, uint32_t b) { + const uint32_t alpha_and_green = (*a & 0xff00ff00u) + (b & 0xff00ff00u); + const uint32_t red_and_blue = (*a & 0x00ff00ffu) + (b & 0x00ff00ffu); + *a = (alpha_and_green & 0xff00ff00u) | (red_and_blue & 0x00ff00ffu); +} + +static WEBP_INLINE uint32_t Average2(uint32_t a0, uint32_t a1) { + return (((a0 ^ a1) & 0xfefefefeL) >> 1) + (a0 & a1); +} + +static WEBP_INLINE uint32_t Average3(uint32_t a0, uint32_t a1, uint32_t a2) { + return Average2(Average2(a0, a2), a1); +} + +static WEBP_INLINE uint32_t Average4(uint32_t a0, uint32_t a1, + uint32_t a2, uint32_t a3) { + return Average2(Average2(a0, a1), Average2(a2, a3)); +} + +static WEBP_INLINE uint32_t Clip255(uint32_t a) { + if (a < 256) { + return a; + } + // return 0, when a is a negative integer. + // return 255, when a is positive. + return ~a >> 24; +} + +static WEBP_INLINE int AddSubtractComponentFull(int a, int b, int c) { + return Clip255(a + b - c); +} + +static WEBP_INLINE uint32_t ClampedAddSubtractFull(uint32_t c0, uint32_t c1, + uint32_t c2) { + const int a = AddSubtractComponentFull(c0 >> 24, c1 >> 24, c2 >> 24); + const int r = AddSubtractComponentFull((c0 >> 16) & 0xff, + (c1 >> 16) & 0xff, + (c2 >> 16) & 0xff); + const int g = AddSubtractComponentFull((c0 >> 8) & 0xff, + (c1 >> 8) & 0xff, + (c2 >> 8) & 0xff); + const int b = AddSubtractComponentFull(c0 & 0xff, c1 & 0xff, c2 & 0xff); + return ((uint32_t)a << 24) | (r << 16) | (g << 8) | b; +} + +static WEBP_INLINE int AddSubtractComponentHalf(int a, int b) { + return Clip255(a + (a - b) / 2); +} + +static WEBP_INLINE uint32_t ClampedAddSubtractHalf(uint32_t c0, uint32_t c1, + uint32_t c2) { + const uint32_t ave = Average2(c0, c1); + const int a = AddSubtractComponentHalf(ave >> 24, c2 >> 24); + const int r = AddSubtractComponentHalf((ave >> 16) & 0xff, (c2 >> 16) & 0xff); + const int g = AddSubtractComponentHalf((ave >> 8) & 0xff, (c2 >> 8) & 0xff); + const int b = AddSubtractComponentHalf((ave >> 0) & 0xff, (c2 >> 0) & 0xff); + return ((uint32_t)a << 24) | (r << 16) | (g << 8) | b; +} + +// gcc-4.9 on ARM generates incorrect code in Select() when Sub3() is inlined. +#if defined(__arm__) && LOCAL_GCC_VERSION == 0x409 +# define LOCAL_INLINE __attribute__ ((noinline)) +#else +# define LOCAL_INLINE WEBP_INLINE +#endif + +static LOCAL_INLINE int Sub3(int a, int b, int c) { + const int pb = b - c; + const int pa = a - c; + return abs(pb) - abs(pa); +} + +#undef LOCAL_INLINE + +static WEBP_INLINE uint32_t Select(uint32_t a, uint32_t b, uint32_t c) { + const int pa_minus_pb = + Sub3((a >> 24) , (b >> 24) , (c >> 24) ) + + Sub3((a >> 16) & 0xff, (b >> 16) & 0xff, (c >> 16) & 0xff) + + Sub3((a >> 8) & 0xff, (b >> 8) & 0xff, (c >> 8) & 0xff) + + Sub3((a ) & 0xff, (b ) & 0xff, (c ) & 0xff); + return (pa_minus_pb <= 0) ? a : b; +} + +//------------------------------------------------------------------------------ +// Predictors + +static uint32_t Predictor0(uint32_t left, const uint32_t* const top) { + (void)top; + (void)left; + return ARGB_BLACK; +} +static uint32_t Predictor1(uint32_t left, const uint32_t* const top) { + (void)top; + return left; +} +static uint32_t Predictor2(uint32_t left, const uint32_t* const top) { + (void)left; + return top[0]; +} +static uint32_t Predictor3(uint32_t left, const uint32_t* const top) { + (void)left; + return top[1]; +} +static uint32_t Predictor4(uint32_t left, const uint32_t* const top) { + (void)left; + return top[-1]; +} +static uint32_t Predictor5(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average3(left, top[0], top[1]); + return pred; +} +static uint32_t Predictor6(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average2(left, top[-1]); + return pred; +} +static uint32_t Predictor7(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average2(left, top[0]); + return pred; +} +static uint32_t Predictor8(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average2(top[-1], top[0]); + (void)left; + return pred; +} +static uint32_t Predictor9(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average2(top[0], top[1]); + (void)left; + return pred; +} +static uint32_t Predictor10(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Average4(left, top[-1], top[0], top[1]); + return pred; +} +static uint32_t Predictor11(uint32_t left, const uint32_t* const top) { + const uint32_t pred = Select(top[0], left, top[-1]); + return pred; +} +static uint32_t Predictor12(uint32_t left, const uint32_t* const top) { + const uint32_t pred = ClampedAddSubtractFull(left, top[0], top[-1]); + return pred; +} +static uint32_t Predictor13(uint32_t left, const uint32_t* const top) { + const uint32_t pred = ClampedAddSubtractHalf(left, top[0], top[-1]); + return pred; +} + +static const VP8LPredictorFunc kPredictorsC[16] = { + Predictor0, Predictor1, Predictor2, Predictor3, + Predictor4, Predictor5, Predictor6, Predictor7, + Predictor8, Predictor9, Predictor10, Predictor11, + Predictor12, Predictor13, + Predictor0, Predictor0 // <- padding security sentinels +}; + +static float PredictionCostSpatial(const int counts[256], int weight_0, + double exp_val) { + const int significant_symbols = 256 >> 4; + const double exp_decay_factor = 0.6; + double bits = weight_0 * counts[0]; + int i; + for (i = 1; i < significant_symbols; ++i) { + bits += exp_val * (counts[i] + counts[256 - i]); + exp_val *= exp_decay_factor; + } + return (float)(-0.1 * bits); +} + +// Compute the combined Shanon's entropy for distribution {X} and {X+Y} +static float CombinedShannonEntropy(const int X[256], const int Y[256]) { + int i; + double retval = 0.; + int sumX = 0, sumXY = 0; + for (i = 0; i < 256; ++i) { + const int x = X[i]; + const int xy = x + Y[i]; + if (x != 0) { + sumX += x; + retval -= VP8LFastSLog2(x); + sumXY += xy; + retval -= VP8LFastSLog2(xy); + } else if (xy != 0) { + sumXY += xy; + retval -= VP8LFastSLog2(xy); + } + } + retval += VP8LFastSLog2(sumX) + VP8LFastSLog2(sumXY); + return (float)retval; +} + +static float PredictionCostSpatialHistogram(const int accumulated[4][256], + const int tile[4][256]) { + int i; + double retval = 0; + for (i = 0; i < 4; ++i) { + const double kExpValue = 0.94; + retval += PredictionCostSpatial(tile[i], 1, kExpValue); + retval += CombinedShannonEntropy(tile[i], accumulated[i]); + } + return (float)retval; +} + +static WEBP_INLINE void UpdateHisto(int histo_argb[4][256], uint32_t argb) { + ++histo_argb[0][argb >> 24]; + ++histo_argb[1][(argb >> 16) & 0xff]; + ++histo_argb[2][(argb >> 8) & 0xff]; + ++histo_argb[3][argb & 0xff]; +} + +static int GetBestPredictorForTile(int width, int height, + int tile_x, int tile_y, int bits, + const int accumulated[4][256], + const uint32_t* const argb_scratch) { + const int kNumPredModes = 14; + const int col_start = tile_x << bits; + const int row_start = tile_y << bits; + const int tile_size = 1 << bits; + const int max_y = GetMin(tile_size, height - row_start); + const int max_x = GetMin(tile_size, width - col_start); + float best_diff = MAX_DIFF_COST; + int best_mode = 0; + int mode; + for (mode = 0; mode < kNumPredModes; ++mode) { + const uint32_t* current_row = argb_scratch; + const VP8LPredictorFunc pred_func = VP8LPredictors[mode]; + float cur_diff; + int y; + int histo_argb[4][256]; + memset(histo_argb, 0, sizeof(histo_argb)); + for (y = 0; y < max_y; ++y) { + int x; + const int row = row_start + y; + const uint32_t* const upper_row = current_row; + current_row = upper_row + width; + for (x = 0; x < max_x; ++x) { + const int col = col_start + x; + uint32_t predict; + if (row == 0) { + predict = (col == 0) ? ARGB_BLACK : current_row[col - 1]; // Left. + } else if (col == 0) { + predict = upper_row[col]; // Top. + } else { + predict = pred_func(current_row[col - 1], upper_row + col); + } + UpdateHisto(histo_argb, VP8LSubPixels(current_row[col], predict)); + } + } + cur_diff = PredictionCostSpatialHistogram( + accumulated, (const int (*)[256])histo_argb); + if (cur_diff < best_diff) { + best_diff = cur_diff; + best_mode = mode; + } + } + + return best_mode; +} + +static void CopyTileWithPrediction(int width, int height, + int tile_x, int tile_y, int bits, int mode, + const uint32_t* const argb_scratch, + uint32_t* const argb) { + const int col_start = tile_x << bits; + const int row_start = tile_y << bits; + const int tile_size = 1 << bits; + const int max_y = GetMin(tile_size, height - row_start); + const int max_x = GetMin(tile_size, width - col_start); + const VP8LPredictorFunc pred_func = VP8LPredictors[mode]; + const uint32_t* current_row = argb_scratch; + + int y; + for (y = 0; y < max_y; ++y) { + int x; + const int row = row_start + y; + const uint32_t* const upper_row = current_row; + current_row = upper_row + width; + for (x = 0; x < max_x; ++x) { + const int col = col_start + x; + const int pix = row * width + col; + uint32_t predict; + if (row == 0) { + predict = (col == 0) ? ARGB_BLACK : current_row[col - 1]; // Left. + } else if (col == 0) { + predict = upper_row[col]; // Top. + } else { + predict = pred_func(current_row[col - 1], upper_row + col); + } + argb[pix] = VP8LSubPixels(current_row[col], predict); + } + } +} + +void VP8LResidualImage(int width, int height, int bits, + uint32_t* const argb, uint32_t* const argb_scratch, + uint32_t* const image) { + const int max_tile_size = 1 << bits; + const int tiles_per_row = VP8LSubSampleSize(width, bits); + const int tiles_per_col = VP8LSubSampleSize(height, bits); + uint32_t* const upper_row = argb_scratch; + uint32_t* const current_tile_rows = argb_scratch + width; + int tile_y; + int histo[4][256]; + memset(histo, 0, sizeof(histo)); + for (tile_y = 0; tile_y < tiles_per_col; ++tile_y) { + const int tile_y_offset = tile_y * max_tile_size; + const int this_tile_height = + (tile_y < tiles_per_col - 1) ? max_tile_size : height - tile_y_offset; + int tile_x; + if (tile_y > 0) { + memcpy(upper_row, current_tile_rows + (max_tile_size - 1) * width, + width * sizeof(*upper_row)); + } + memcpy(current_tile_rows, &argb[tile_y_offset * width], + this_tile_height * width * sizeof(*current_tile_rows)); + for (tile_x = 0; tile_x < tiles_per_row; ++tile_x) { + int pred; + int y; + const int tile_x_offset = tile_x * max_tile_size; + int all_x_max = tile_x_offset + max_tile_size; + if (all_x_max > width) { + all_x_max = width; + } + pred = GetBestPredictorForTile(width, height, tile_x, tile_y, bits, + (const int (*)[256])histo, + argb_scratch); + image[tile_y * tiles_per_row + tile_x] = 0xff000000u | (pred << 8); + CopyTileWithPrediction(width, height, tile_x, tile_y, bits, pred, + argb_scratch, argb); + for (y = 0; y < max_tile_size; ++y) { + int ix; + int all_x; + int all_y = tile_y_offset + y; + if (all_y >= height) { + break; + } + ix = all_y * width + tile_x_offset; + for (all_x = tile_x_offset; all_x < all_x_max; ++all_x, ++ix) { + UpdateHisto(histo, argb[ix]); + } + } + } + } +} + +// Inverse prediction. +static void PredictorInverseTransform(const VP8LTransform* const transform, + int y_start, int y_end, uint32_t* data) { + const int width = transform->xsize_; + if (y_start == 0) { // First Row follows the L (mode=1) mode. + int x; + const uint32_t pred0 = Predictor0(data[-1], NULL); + AddPixelsEq(data, pred0); + for (x = 1; x < width; ++x) { + const uint32_t pred1 = Predictor1(data[x - 1], NULL); + AddPixelsEq(data + x, pred1); + } + data += width; + ++y_start; + } + + { + int y = y_start; + const int tile_width = 1 << transform->bits_; + const int mask = tile_width - 1; + const int safe_width = width & ~mask; + const int tiles_per_row = VP8LSubSampleSize(width, transform->bits_); + const uint32_t* pred_mode_base = + transform->data_ + (y >> transform->bits_) * tiles_per_row; + + while (y < y_end) { + const uint32_t pred2 = Predictor2(data[-1], data - width); + const uint32_t* pred_mode_src = pred_mode_base; + VP8LPredictorFunc pred_func; + int x = 1; + int t = 1; + // First pixel follows the T (mode=2) mode. + AddPixelsEq(data, pred2); + // .. the rest: + while (x < safe_width) { + pred_func = VP8LPredictors[((*pred_mode_src++) >> 8) & 0xf]; + for (; t < tile_width; ++t, ++x) { + const uint32_t pred = pred_func(data[x - 1], data + x - width); + AddPixelsEq(data + x, pred); + } + t = 0; + } + if (x < width) { + pred_func = VP8LPredictors[((*pred_mode_src++) >> 8) & 0xf]; + for (; x < width; ++x) { + const uint32_t pred = pred_func(data[x - 1], data + x - width); + AddPixelsEq(data + x, pred); + } + } + data += width; + ++y; + if ((y & mask) == 0) { // Use the same mask, since tiles are squares. + pred_mode_base += tiles_per_row; + } + } + } +} + +void VP8LSubtractGreenFromBlueAndRed_C(uint32_t* argb_data, int num_pixels) { + int i; + for (i = 0; i < num_pixels; ++i) { + const uint32_t argb = argb_data[i]; + const uint32_t green = (argb >> 8) & 0xff; + const uint32_t new_r = (((argb >> 16) & 0xff) - green) & 0xff; + const uint32_t new_b = ((argb & 0xff) - green) & 0xff; + argb_data[i] = (argb & 0xff00ff00) | (new_r << 16) | new_b; + } +} + +// Add green to blue and red channels (i.e. perform the inverse transform of +// 'subtract green'). +void VP8LAddGreenToBlueAndRed_C(uint32_t* data, int num_pixels) { + int i; + for (i = 0; i < num_pixels; ++i) { + const uint32_t argb = data[i]; + const uint32_t green = ((argb >> 8) & 0xff); + uint32_t red_blue = (argb & 0x00ff00ffu); + red_blue += (green << 16) | green; + red_blue &= 0x00ff00ffu; + data[i] = (argb & 0xff00ff00u) | red_blue; + } +} + +static WEBP_INLINE void MultipliersClear(VP8LMultipliers* const m) { + m->green_to_red_ = 0; + m->green_to_blue_ = 0; + m->red_to_blue_ = 0; +} + +static WEBP_INLINE uint32_t ColorTransformDelta(int8_t color_pred, + int8_t color) { + return (uint32_t)((int)(color_pred) * color) >> 5; +} + +static WEBP_INLINE void ColorCodeToMultipliers(uint32_t color_code, + VP8LMultipliers* const m) { + m->green_to_red_ = (color_code >> 0) & 0xff; + m->green_to_blue_ = (color_code >> 8) & 0xff; + m->red_to_blue_ = (color_code >> 16) & 0xff; +} + +static WEBP_INLINE uint32_t MultipliersToColorCode( + const VP8LMultipliers* const m) { + return 0xff000000u | + ((uint32_t)(m->red_to_blue_) << 16) | + ((uint32_t)(m->green_to_blue_) << 8) | + m->green_to_red_; +} + +void VP8LTransformColor_C(const VP8LMultipliers* const m, uint32_t* data, + int num_pixels) { + int i; + for (i = 0; i < num_pixels; ++i) { + const uint32_t argb = data[i]; + const uint32_t green = argb >> 8; + const uint32_t red = argb >> 16; + uint32_t new_red = red; + uint32_t new_blue = argb; + new_red -= ColorTransformDelta(m->green_to_red_, green); + new_red &= 0xff; + new_blue -= ColorTransformDelta(m->green_to_blue_, green); + new_blue -= ColorTransformDelta(m->red_to_blue_, red); + new_blue &= 0xff; + data[i] = (argb & 0xff00ff00u) | (new_red << 16) | (new_blue); + } +} + +void VP8LTransformColorInverse_C(const VP8LMultipliers* const m, uint32_t* data, + int num_pixels) { + int i; + for (i = 0; i < num_pixels; ++i) { + const uint32_t argb = data[i]; + const uint32_t green = argb >> 8; + const uint32_t red = argb >> 16; + uint32_t new_red = red; + uint32_t new_blue = argb; + new_red += ColorTransformDelta(m->green_to_red_, green); + new_red &= 0xff; + new_blue += ColorTransformDelta(m->green_to_blue_, green); + new_blue += ColorTransformDelta(m->red_to_blue_, new_red); + new_blue &= 0xff; + data[i] = (argb & 0xff00ff00u) | (new_red << 16) | (new_blue); + } +} + +static WEBP_INLINE uint8_t TransformColorRed(uint8_t green_to_red, + uint32_t argb) { + const uint32_t green = argb >> 8; + uint32_t new_red = argb >> 16; + new_red -= ColorTransformDelta(green_to_red, green); + return (new_red & 0xff); +} + +static WEBP_INLINE uint8_t TransformColorBlue(uint8_t green_to_blue, + uint8_t red_to_blue, + uint32_t argb) { + const uint32_t green = argb >> 8; + const uint32_t red = argb >> 16; + uint8_t new_blue = argb; + new_blue -= ColorTransformDelta(green_to_blue, green); + new_blue -= ColorTransformDelta(red_to_blue, red); + return (new_blue & 0xff); +} + +static float PredictionCostCrossColor(const int accumulated[256], + const int counts[256]) { + // Favor low entropy, locally and globally. + // Favor small absolute values for PredictionCostSpatial + static const double kExpValue = 2.4; + return CombinedShannonEntropy(counts, accumulated) + + PredictionCostSpatial(counts, 3, kExpValue); +} + +static float GetPredictionCostCrossColorRed( + int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max, + int xsize, VP8LMultipliers prev_x, VP8LMultipliers prev_y, int green_to_red, + const int accumulated_red_histo[256], const uint32_t* const argb) { + int all_y; + int histo[256] = { 0 }; + float cur_diff; + for (all_y = tile_y_offset; all_y < all_y_max; ++all_y) { + int ix = all_y * xsize + tile_x_offset; + int all_x; + for (all_x = tile_x_offset; all_x < all_x_max; ++all_x, ++ix) { + ++histo[TransformColorRed(green_to_red, argb[ix])]; // red. + } + } + cur_diff = PredictionCostCrossColor(accumulated_red_histo, histo); + if ((uint8_t)green_to_red == prev_x.green_to_red_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if ((uint8_t)green_to_red == prev_y.green_to_red_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if (green_to_red == 0) { + cur_diff -= 3; + } + return cur_diff; +} + +static void GetBestGreenToRed( + int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max, + int xsize, VP8LMultipliers prev_x, VP8LMultipliers prev_y, + const int accumulated_red_histo[256], const uint32_t* const argb, + VP8LMultipliers* const best_tx) { + int min_green_to_red = -64; + int max_green_to_red = 64; + int green_to_red = 0; + int eval_min = 1; + int eval_max = 1; + float cur_diff_min = MAX_DIFF_COST; + float cur_diff_max = MAX_DIFF_COST; + // Do a binary search to find the optimal green_to_red color transform. + while (max_green_to_red - min_green_to_red > 2) { + if (eval_min) { + cur_diff_min = GetPredictionCostCrossColorRed( + tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize, + prev_x, prev_y, min_green_to_red, accumulated_red_histo, argb); + eval_min = 0; + } + if (eval_max) { + cur_diff_max = GetPredictionCostCrossColorRed( + tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize, + prev_x, prev_y, max_green_to_red, accumulated_red_histo, argb); + eval_max = 0; + } + if (cur_diff_min < cur_diff_max) { + green_to_red = min_green_to_red; + max_green_to_red = (max_green_to_red + min_green_to_red) / 2; + eval_max = 1; + } else { + green_to_red = max_green_to_red; + min_green_to_red = (max_green_to_red + min_green_to_red) / 2; + eval_min = 1; + } + } + best_tx->green_to_red_ = green_to_red; +} + +static float GetPredictionCostCrossColorBlue( + int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max, + int xsize, VP8LMultipliers prev_x, VP8LMultipliers prev_y, + int green_to_blue, int red_to_blue, const int accumulated_blue_histo[256], + const uint32_t* const argb) { + int all_y; + int histo[256] = { 0 }; + float cur_diff; + for (all_y = tile_y_offset; all_y < all_y_max; ++all_y) { + int all_x; + int ix = all_y * xsize + tile_x_offset; + for (all_x = tile_x_offset; all_x < all_x_max; ++all_x, ++ix) { + ++histo[TransformColorBlue(green_to_blue, red_to_blue, argb[ix])]; + } + } + cur_diff = PredictionCostCrossColor(accumulated_blue_histo, histo); + if ((uint8_t)green_to_blue == prev_x.green_to_blue_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if ((uint8_t)green_to_blue == prev_y.green_to_blue_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if ((uint8_t)red_to_blue == prev_x.red_to_blue_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if ((uint8_t)red_to_blue == prev_y.red_to_blue_) { + cur_diff -= 3; // favor keeping the areas locally similar + } + if (green_to_blue == 0) { + cur_diff -= 3; + } + if (red_to_blue == 0) { + cur_diff -= 3; + } + return cur_diff; +} + +static void GetBestGreenRedToBlue( + int tile_x_offset, int tile_y_offset, int all_x_max, int all_y_max, + int xsize, VP8LMultipliers prev_x, VP8LMultipliers prev_y, int quality, + const int accumulated_blue_histo[256], const uint32_t* const argb, + VP8LMultipliers* const best_tx) { + float best_diff = MAX_DIFF_COST; + float cur_diff; + const int step = (quality < 25) ? 32 : (quality > 50) ? 8 : 16; + const int min_green_to_blue = -32; + const int max_green_to_blue = 32; + const int min_red_to_blue = -32; + const int max_red_to_blue = 32; + const int num_iters = + (1 + (max_green_to_blue - min_green_to_blue) / step) * + (1 + (max_red_to_blue - min_red_to_blue) / step); + // Number of tries to get optimal green_to_blue & red_to_blue color transforms + // after finding a local minima. + const int max_tries_after_min = 4 + (num_iters >> 2); + int num_tries_after_min = 0; + int green_to_blue; + for (green_to_blue = min_green_to_blue; + green_to_blue <= max_green_to_blue && + num_tries_after_min < max_tries_after_min; + green_to_blue += step) { + int red_to_blue; + for (red_to_blue = min_red_to_blue; + red_to_blue <= max_red_to_blue && + num_tries_after_min < max_tries_after_min; + red_to_blue += step) { + cur_diff = GetPredictionCostCrossColorBlue( + tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize, prev_x, + prev_y, green_to_blue, red_to_blue, accumulated_blue_histo, argb); + if (cur_diff < best_diff) { + best_diff = cur_diff; + best_tx->green_to_blue_ = green_to_blue; + best_tx->red_to_blue_ = red_to_blue; + num_tries_after_min = 0; + } else { + ++num_tries_after_min; + } + } + } +} + +static VP8LMultipliers GetBestColorTransformForTile( + int tile_x, int tile_y, int bits, + VP8LMultipliers prev_x, + VP8LMultipliers prev_y, + int quality, int xsize, int ysize, + const int accumulated_red_histo[256], + const int accumulated_blue_histo[256], + const uint32_t* const argb) { + const int max_tile_size = 1 << bits; + const int tile_y_offset = tile_y * max_tile_size; + const int tile_x_offset = tile_x * max_tile_size; + const int all_x_max = GetMin(tile_x_offset + max_tile_size, xsize); + const int all_y_max = GetMin(tile_y_offset + max_tile_size, ysize); + VP8LMultipliers best_tx; + MultipliersClear(&best_tx); + + GetBestGreenToRed(tile_x_offset, tile_y_offset, all_x_max, all_y_max, xsize, + prev_x, prev_y, accumulated_red_histo, argb, &best_tx); + GetBestGreenRedToBlue(tile_x_offset, tile_y_offset, all_x_max, all_y_max, + xsize, prev_x, prev_y, quality, accumulated_blue_histo, + argb, &best_tx); + return best_tx; +} + +static void CopyTileWithColorTransform(int xsize, int ysize, + int tile_x, int tile_y, + int max_tile_size, + VP8LMultipliers color_transform, + uint32_t* argb) { + const int xscan = GetMin(max_tile_size, xsize - tile_x); + int yscan = GetMin(max_tile_size, ysize - tile_y); + argb += tile_y * xsize + tile_x; + while (yscan-- > 0) { + VP8LTransformColor(&color_transform, argb, xscan); + argb += xsize; + } +} + +void VP8LColorSpaceTransform(int width, int height, int bits, int quality, + uint32_t* const argb, uint32_t* image) { + const int max_tile_size = 1 << bits; + const int tile_xsize = VP8LSubSampleSize(width, bits); + const int tile_ysize = VP8LSubSampleSize(height, bits); + int accumulated_red_histo[256] = { 0 }; + int accumulated_blue_histo[256] = { 0 }; + int tile_x, tile_y; + VP8LMultipliers prev_x, prev_y; + MultipliersClear(&prev_y); + MultipliersClear(&prev_x); + for (tile_y = 0; tile_y < tile_ysize; ++tile_y) { + for (tile_x = 0; tile_x < tile_xsize; ++tile_x) { + int y; + const int tile_x_offset = tile_x * max_tile_size; + const int tile_y_offset = tile_y * max_tile_size; + const int all_x_max = GetMin(tile_x_offset + max_tile_size, width); + const int all_y_max = GetMin(tile_y_offset + max_tile_size, height); + const int offset = tile_y * tile_xsize + tile_x; + if (tile_y != 0) { + ColorCodeToMultipliers(image[offset - tile_xsize], &prev_y); + } + prev_x = GetBestColorTransformForTile(tile_x, tile_y, bits, + prev_x, prev_y, + quality, width, height, + accumulated_red_histo, + accumulated_blue_histo, + argb); + image[offset] = MultipliersToColorCode(&prev_x); + CopyTileWithColorTransform(width, height, tile_x_offset, tile_y_offset, + max_tile_size, prev_x, argb); + + // Gather accumulated histogram data. + for (y = tile_y_offset; y < all_y_max; ++y) { + int ix = y * width + tile_x_offset; + const int ix_end = ix + all_x_max - tile_x_offset; + for (; ix < ix_end; ++ix) { + const uint32_t pix = argb[ix]; + if (ix >= 2 && + pix == argb[ix - 2] && + pix == argb[ix - 1]) { + continue; // repeated pixels are handled by backward references + } + if (ix >= width + 2 && + argb[ix - 2] == argb[ix - width - 2] && + argb[ix - 1] == argb[ix - width - 1] && + pix == argb[ix - width]) { + continue; // repeated pixels are handled by backward references + } + ++accumulated_red_histo[(pix >> 16) & 0xff]; + ++accumulated_blue_histo[(pix >> 0) & 0xff]; + } + } + } + } +} + +// Color space inverse transform. +static void ColorSpaceInverseTransform(const VP8LTransform* const transform, + int y_start, int y_end, uint32_t* data) { + const int width = transform->xsize_; + const int tile_width = 1 << transform->bits_; + const int mask = tile_width - 1; + const int safe_width = width & ~mask; + const int remaining_width = width - safe_width; + const int tiles_per_row = VP8LSubSampleSize(width, transform->bits_); + int y = y_start; + const uint32_t* pred_row = + transform->data_ + (y >> transform->bits_) * tiles_per_row; + + while (y < y_end) { + const uint32_t* pred = pred_row; + VP8LMultipliers m = { 0, 0, 0 }; + const uint32_t* const data_safe_end = data + safe_width; + const uint32_t* const data_end = data + width; + while (data < data_safe_end) { + ColorCodeToMultipliers(*pred++, &m); + VP8LTransformColorInverse(&m, data, tile_width); + data += tile_width; + } + if (data < data_end) { // Left-overs using C-version. + ColorCodeToMultipliers(*pred++, &m); + VP8LTransformColorInverse(&m, data, remaining_width); + data += remaining_width; + } + ++y; + if ((y & mask) == 0) pred_row += tiles_per_row; + } +} + +// Separate out pixels packed together using pixel-bundling. +// We define two methods for ARGB data (uint32_t) and alpha-only data (uint8_t). +#define COLOR_INDEX_INVERSE(FUNC_NAME, TYPE, GET_INDEX, GET_VALUE) \ +void FUNC_NAME(const VP8LTransform* const transform, \ + int y_start, int y_end, const TYPE* src, TYPE* dst) { \ + int y; \ + const int bits_per_pixel = 8 >> transform->bits_; \ + const int width = transform->xsize_; \ + const uint32_t* const color_map = transform->data_; \ + if (bits_per_pixel < 8) { \ + const int pixels_per_byte = 1 << transform->bits_; \ + const int count_mask = pixels_per_byte - 1; \ + const uint32_t bit_mask = (1 << bits_per_pixel) - 1; \ + for (y = y_start; y < y_end; ++y) { \ + uint32_t packed_pixels = 0; \ + int x; \ + for (x = 0; x < width; ++x) { \ + /* We need to load fresh 'packed_pixels' once every */ \ + /* 'pixels_per_byte' increments of x. Fortunately, pixels_per_byte */ \ + /* is a power of 2, so can just use a mask for that, instead of */ \ + /* decrementing a counter. */ \ + if ((x & count_mask) == 0) packed_pixels = GET_INDEX(*src++); \ + *dst++ = GET_VALUE(color_map[packed_pixels & bit_mask]); \ + packed_pixels >>= bits_per_pixel; \ + } \ + } \ + } else { \ + for (y = y_start; y < y_end; ++y) { \ + int x; \ + for (x = 0; x < width; ++x) { \ + *dst++ = GET_VALUE(color_map[GET_INDEX(*src++)]); \ + } \ + } \ + } \ +} + +static WEBP_INLINE uint32_t GetARGBIndex(uint32_t idx) { + return (idx >> 8) & 0xff; +} + +static WEBP_INLINE uint8_t GetAlphaIndex(uint8_t idx) { + return idx; +} + +static WEBP_INLINE uint32_t GetARGBValue(uint32_t val) { + return val; +} + +static WEBP_INLINE uint8_t GetAlphaValue(uint32_t val) { + return (val >> 8) & 0xff; +} + +static COLOR_INDEX_INVERSE(ColorIndexInverseTransform, uint32_t, GetARGBIndex, + GetARGBValue) +COLOR_INDEX_INVERSE(VP8LColorIndexInverseTransformAlpha, uint8_t, GetAlphaIndex, + GetAlphaValue) + +#undef COLOR_INDEX_INVERSE + +void VP8LInverseTransform(const VP8LTransform* const transform, + int row_start, int row_end, + const uint32_t* const in, uint32_t* const out) { + const int width = transform->xsize_; + assert(row_start < row_end); + assert(row_end <= transform->ysize_); + switch (transform->type_) { + case SUBTRACT_GREEN: + VP8LAddGreenToBlueAndRed(out, (row_end - row_start) * width); + break; + case PREDICTOR_TRANSFORM: + PredictorInverseTransform(transform, row_start, row_end, out); + if (row_end != transform->ysize_) { + // The last predicted row in this iteration will be the top-pred row + // for the first row in next iteration. + memcpy(out - width, out + (row_end - row_start - 1) * width, + width * sizeof(*out)); + } + break; + case CROSS_COLOR_TRANSFORM: + ColorSpaceInverseTransform(transform, row_start, row_end, out); + break; + case COLOR_INDEXING_TRANSFORM: + if (in == out && transform->bits_ > 0) { + // Move packed pixels to the end of unpacked region, so that unpacking + // can occur seamlessly. + // Also, note that this is the only transform that applies on + // the effective width of VP8LSubSampleSize(xsize_, bits_). All other + // transforms work on effective width of xsize_. + const int out_stride = (row_end - row_start) * width; + const int in_stride = (row_end - row_start) * + VP8LSubSampleSize(transform->xsize_, transform->bits_); + uint32_t* const src = out + out_stride - in_stride; + memmove(src, out, in_stride * sizeof(*src)); + ColorIndexInverseTransform(transform, row_start, row_end, src, out); + } else { + ColorIndexInverseTransform(transform, row_start, row_end, in, out); + } + break; + } +} + +//------------------------------------------------------------------------------ +// Color space conversion. + +static int is_big_endian(void) { + static const union { + uint16_t w; + uint8_t b[2]; + } tmp = { 1 }; + return (tmp.b[0] != 1); +} + +void VP8LConvertBGRAToRGB_C(const uint32_t* src, + int num_pixels, uint8_t* dst) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + *dst++ = (argb >> 16) & 0xff; + *dst++ = (argb >> 8) & 0xff; + *dst++ = (argb >> 0) & 0xff; + } +} + +void VP8LConvertBGRAToRGBA_C(const uint32_t* src, + int num_pixels, uint8_t* dst) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + *dst++ = (argb >> 16) & 0xff; + *dst++ = (argb >> 8) & 0xff; + *dst++ = (argb >> 0) & 0xff; + *dst++ = (argb >> 24) & 0xff; + } +} + +void VP8LConvertBGRAToRGBA4444_C(const uint32_t* src, + int num_pixels, uint8_t* dst) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + const uint8_t rg = ((argb >> 16) & 0xf0) | ((argb >> 12) & 0xf); + const uint8_t ba = ((argb >> 0) & 0xf0) | ((argb >> 28) & 0xf); +#ifdef WEBP_SWAP_16BIT_CSP + *dst++ = ba; + *dst++ = rg; +#else + *dst++ = rg; + *dst++ = ba; +#endif + } +} + +void VP8LConvertBGRAToRGB565_C(const uint32_t* src, + int num_pixels, uint8_t* dst) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + const uint8_t rg = ((argb >> 16) & 0xf8) | ((argb >> 13) & 0x7); + const uint8_t gb = ((argb >> 5) & 0xe0) | ((argb >> 3) & 0x1f); +#ifdef WEBP_SWAP_16BIT_CSP + *dst++ = gb; + *dst++ = rg; +#else + *dst++ = rg; + *dst++ = gb; +#endif + } +} + +void VP8LConvertBGRAToBGR_C(const uint32_t* src, + int num_pixels, uint8_t* dst) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + *dst++ = (argb >> 0) & 0xff; + *dst++ = (argb >> 8) & 0xff; + *dst++ = (argb >> 16) & 0xff; + } +} + +static void CopyOrSwap(const uint32_t* src, int num_pixels, uint8_t* dst, + int swap_on_big_endian) { + if (is_big_endian() == swap_on_big_endian) { + const uint32_t* const src_end = src + num_pixels; + while (src < src_end) { + const uint32_t argb = *src++; + +#if !defined(WORDS_BIGENDIAN) +#if !defined(WEBP_REFERENCE_IMPLEMENTATION) + *(uint32_t*)dst = BSwap32(argb); +#else // WEBP_REFERENCE_IMPLEMENTATION + dst[0] = (argb >> 24) & 0xff; + dst[1] = (argb >> 16) & 0xff; + dst[2] = (argb >> 8) & 0xff; + dst[3] = (argb >> 0) & 0xff; +#endif +#else // WORDS_BIGENDIAN + dst[0] = (argb >> 0) & 0xff; + dst[1] = (argb >> 8) & 0xff; + dst[2] = (argb >> 16) & 0xff; + dst[3] = (argb >> 24) & 0xff; +#endif + dst += sizeof(argb); + } + } else { + memcpy(dst, src, num_pixels * sizeof(*src)); + } +} + +void VP8LConvertFromBGRA(const uint32_t* const in_data, int num_pixels, + WEBP_CSP_MODE out_colorspace, uint8_t* const rgba) { + switch (out_colorspace) { + case MODE_RGB: + VP8LConvertBGRAToRGB(in_data, num_pixels, rgba); + break; + case MODE_RGBA: + VP8LConvertBGRAToRGBA(in_data, num_pixels, rgba); + break; + case MODE_rgbA: + VP8LConvertBGRAToRGBA(in_data, num_pixels, rgba); + WebPApplyAlphaMultiply(rgba, 0, num_pixels, 1, 0); + break; + case MODE_BGR: + VP8LConvertBGRAToBGR(in_data, num_pixels, rgba); + break; + case MODE_BGRA: + CopyOrSwap(in_data, num_pixels, rgba, 1); + break; + case MODE_bgrA: + CopyOrSwap(in_data, num_pixels, rgba, 1); + WebPApplyAlphaMultiply(rgba, 0, num_pixels, 1, 0); + break; + case MODE_ARGB: + CopyOrSwap(in_data, num_pixels, rgba, 0); + break; + case MODE_Argb: + CopyOrSwap(in_data, num_pixels, rgba, 0); + WebPApplyAlphaMultiply(rgba, 1, num_pixels, 1, 0); + break; + case MODE_RGBA_4444: + VP8LConvertBGRAToRGBA4444(in_data, num_pixels, rgba); + break; + case MODE_rgbA_4444: + VP8LConvertBGRAToRGBA4444(in_data, num_pixels, rgba); + WebPApplyAlphaMultiply4444(rgba, num_pixels, 1, 0); + break; + case MODE_RGB_565: + VP8LConvertBGRAToRGB565(in_data, num_pixels, rgba); + break; + default: + assert(0); // Code flow should not reach here. + } +} + +//------------------------------------------------------------------------------ +// Bundles multiple (1, 2, 4 or 8) pixels into a single pixel. +void VP8LBundleColorMap(const uint8_t* const row, int width, + int xbits, uint32_t* const dst) { + int x; + if (xbits > 0) { + const int bit_depth = 1 << (3 - xbits); + const int mask = (1 << xbits) - 1; + uint32_t code = 0xff000000; + for (x = 0; x < width; ++x) { + const int xsub = x & mask; + if (xsub == 0) { + code = 0xff000000; + } + code |= row[x] << (8 + bit_depth * xsub); + dst[x >> xbits] = code; + } + } else { + for (x = 0; x < width; ++x) dst[x] = 0xff000000 | (row[x] << 8); + } +} + +//------------------------------------------------------------------------------ + +static double ExtraCost(const uint32_t* population, int length) { + int i; + double cost = 0.; + for (i = 2; i < length - 2; ++i) cost += (i >> 1) * population[i + 2]; + return cost; +} + +static double ExtraCostCombined(const uint32_t* X, const uint32_t* Y, + int length) { + int i; + double cost = 0.; + for (i = 2; i < length - 2; ++i) { + const int xy = X[i + 2] + Y[i + 2]; + cost += (i >> 1) * xy; + } + return cost; +} + +// Returns the various RLE counts +static VP8LStreaks HuffmanCostCount(const uint32_t* population, int length) { + int i; + int streak = 0; + VP8LStreaks stats; + memset(&stats, 0, sizeof(stats)); + for (i = 0; i < length - 1; ++i) { + ++streak; + if (population[i] == population[i + 1]) { + continue; + } + stats.counts[population[i] != 0] += (streak > 3); + stats.streaks[population[i] != 0][(streak > 3)] += streak; + streak = 0; + } + ++streak; + stats.counts[population[i] != 0] += (streak > 3); + stats.streaks[population[i] != 0][(streak > 3)] += streak; + return stats; +} + +static VP8LStreaks HuffmanCostCombinedCount(const uint32_t* X, + const uint32_t* Y, int length) { + int i; + int streak = 0; + VP8LStreaks stats; + memset(&stats, 0, sizeof(stats)); + for (i = 0; i < length - 1; ++i) { + const int xy = X[i] + Y[i]; + const int xy_next = X[i + 1] + Y[i + 1]; + ++streak; + if (xy == xy_next) { + continue; + } + stats.counts[xy != 0] += (streak > 3); + stats.streaks[xy != 0][(streak > 3)] += streak; + streak = 0; + } + { + const int xy = X[i] + Y[i]; + ++streak; + stats.counts[xy != 0] += (streak > 3); + stats.streaks[xy != 0][(streak > 3)] += streak; + } + return stats; +} + +//------------------------------------------------------------------------------ + +static void HistogramAdd(const VP8LHistogram* const a, + const VP8LHistogram* const b, + VP8LHistogram* const out) { + int i; + const int literal_size = VP8LHistogramNumCodes(a->palette_code_bits_); + assert(a->palette_code_bits_ == b->palette_code_bits_); + if (b != out) { + for (i = 0; i < literal_size; ++i) { + out->literal_[i] = a->literal_[i] + b->literal_[i]; + } + for (i = 0; i < NUM_DISTANCE_CODES; ++i) { + out->distance_[i] = a->distance_[i] + b->distance_[i]; + } + for (i = 0; i < NUM_LITERAL_CODES; ++i) { + out->red_[i] = a->red_[i] + b->red_[i]; + out->blue_[i] = a->blue_[i] + b->blue_[i]; + out->alpha_[i] = a->alpha_[i] + b->alpha_[i]; + } + } else { + for (i = 0; i < literal_size; ++i) { + out->literal_[i] += a->literal_[i]; + } + for (i = 0; i < NUM_DISTANCE_CODES; ++i) { + out->distance_[i] += a->distance_[i]; + } + for (i = 0; i < NUM_LITERAL_CODES; ++i) { + out->red_[i] += a->red_[i]; + out->blue_[i] += a->blue_[i]; + out->alpha_[i] += a->alpha_[i]; + } + } +} + +//------------------------------------------------------------------------------ + +VP8LProcessBlueAndRedFunc VP8LSubtractGreenFromBlueAndRed; +VP8LProcessBlueAndRedFunc VP8LAddGreenToBlueAndRed; +VP8LPredictorFunc VP8LPredictors[16]; + +VP8LTransformColorFunc VP8LTransformColor; +VP8LTransformColorFunc VP8LTransformColorInverse; + +VP8LConvertFunc VP8LConvertBGRAToRGB; +VP8LConvertFunc VP8LConvertBGRAToRGBA; +VP8LConvertFunc VP8LConvertBGRAToRGBA4444; +VP8LConvertFunc VP8LConvertBGRAToRGB565; +VP8LConvertFunc VP8LConvertBGRAToBGR; + +VP8LFastLog2SlowFunc VP8LFastLog2Slow; +VP8LFastLog2SlowFunc VP8LFastSLog2Slow; + +VP8LCostFunc VP8LExtraCost; +VP8LCostCombinedFunc VP8LExtraCostCombined; + +VP8LCostCountFunc VP8LHuffmanCostCount; +VP8LCostCombinedCountFunc VP8LHuffmanCostCombinedCount; + +VP8LHistogramAddFunc VP8LHistogramAdd; + +extern void VP8LDspInitSSE2(void); +extern void VP8LDspInitNEON(void); +extern void VP8LDspInitMIPS32(void); + +void VP8LDspInit(void) { + memcpy(VP8LPredictors, kPredictorsC, sizeof(VP8LPredictors)); + + VP8LSubtractGreenFromBlueAndRed = VP8LSubtractGreenFromBlueAndRed_C; + VP8LAddGreenToBlueAndRed = VP8LAddGreenToBlueAndRed_C; + + VP8LTransformColor = VP8LTransformColor_C; + VP8LTransformColorInverse = VP8LTransformColorInverse_C; + + VP8LConvertBGRAToRGB = VP8LConvertBGRAToRGB_C; + VP8LConvertBGRAToRGBA = VP8LConvertBGRAToRGBA_C; + VP8LConvertBGRAToRGBA4444 = VP8LConvertBGRAToRGBA4444_C; + VP8LConvertBGRAToRGB565 = VP8LConvertBGRAToRGB565_C; + VP8LConvertBGRAToBGR = VP8LConvertBGRAToBGR_C; + + VP8LFastLog2Slow = FastLog2Slow; + VP8LFastSLog2Slow = FastSLog2Slow; + + VP8LExtraCost = ExtraCost; + VP8LExtraCostCombined = ExtraCostCombined; + + VP8LHuffmanCostCount = HuffmanCostCount; + VP8LHuffmanCostCombinedCount = HuffmanCostCombinedCount; + + VP8LHistogramAdd = HistogramAdd; + + // If defined, use CPUInfo() to overwrite some pointers with faster versions. + if (VP8GetCPUInfo != NULL) { +#if defined(WEBP_USE_SSE2) + if (VP8GetCPUInfo(kSSE2)) { + VP8LDspInitSSE2(); + } +#endif +#if defined(WEBP_USE_NEON) + if (VP8GetCPUInfo(kNEON)) { + VP8LDspInitNEON(); + } +#endif +#if defined(WEBP_USE_MIPS32) + if (VP8GetCPUInfo(kMIPS32)) { + VP8LDspInitMIPS32(); + } +#endif + } +} + +//------------------------------------------------------------------------------ |