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https://github.com/curioustorvald/tsvm.git
synced 2026-03-13 14:36:06 +09:00
more aggressive and asymmetrical Chroma compression
This commit is contained in:
minjaesong
@@ -1419,87 +1419,173 @@ class GraphicsJSR223Delegate(private val vm: VM) {
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// Quality settings for quantization (Chroma channels - 8x8)
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var QUANT_TABLES_C: Array<IntArray> = arrayOf( // Quality 0 (lowest)
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// Quality settings for quantization (Co channel - orange-blue, 8x8)
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var QUANT_TABLES_CO: Array<IntArray> = arrayOf( // Quality 0 (lowest) - 2x more aggressive than Co
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intArrayOf(
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120, 90, 75, 120, 180, 255, 255, 255,
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83, 90, 105, 143, 195, 255, 255, 255,
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105, 98, 120, 180, 255, 255, 255, 255,
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105, 128, 165, 218, 255, 255, 255, 255,
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135, 165, 255, 255, 255, 255, 255, 255,
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180, 255, 255, 255, 255, 255, 255, 255,
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240, 180, 150, 240, 255, 255, 255, 255,
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166, 180, 210, 255, 255, 255, 255, 255,
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210, 196, 240, 255, 255, 255, 255, 255,
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210, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 1
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), // Quality 1 - 1.8x more aggressive
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intArrayOf(
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60, 45, 38, 60, 90, 150, 192, 225,
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42, 45, 53, 72, 98, 192, 225, 255,
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53, 49, 60, 90, 150, 192, 225, 255,
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53, 64, 83, 109, 192, 225, 255, 255,
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68, 83, 139, 192, 225, 255, 255, 255,
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90, 132, 192, 225, 255, 255, 255, 255,
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185, 192, 225, 255, 255, 255, 255, 255,
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192, 225, 255, 255, 255, 255, 255, 255
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), // Quality 2
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108, 81, 68, 108, 162, 255, 255, 255,
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76, 81, 95, 130, 176, 255, 255, 255,
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95, 88, 108, 162, 255, 255, 255, 255,
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95, 115, 149, 196, 255, 255, 255, 255,
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122, 149, 250, 255, 255, 255, 255, 255,
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162, 238, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 2 - 1.7x more aggressive
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intArrayOf(
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30, 23, 19, 30, 45, 75, 96, 113,
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21, 23, 27, 36, 49, 96, 113, 135,
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27, 25, 30, 45, 75, 96, 113, 135,
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27, 32, 42, 55, 96, 113, 135, 150,
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34, 42, 70, 96, 113, 135, 150, 165,
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45, 66, 96, 113, 135, 150, 165, 180,
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93, 96, 113, 135, 150, 165, 180, 188,
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96, 113, 135, 150, 165, 180, 188, 192
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), // Quality 3
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51, 39, 32, 51, 77, 128, 163, 192,
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36, 39, 46, 61, 83, 163, 192, 230,
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46, 43, 51, 77, 128, 163, 192, 230,
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46, 54, 71, 94, 163, 192, 230, 255,
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58, 71, 119, 163, 192, 230, 255, 255,
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77, 112, 163, 192, 230, 255, 255, 255,
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158, 163, 192, 230, 255, 255, 255, 255,
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163, 192, 230, 255, 255, 255, 255, 255
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), // Quality 3 - 1.6x more aggressive
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intArrayOf(
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24, 18, 15, 24, 36, 60, 77, 90,
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17, 18, 21, 29, 39, 77, 90, 108,
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21, 20, 24, 36, 60, 77, 90, 108,
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21, 26, 33, 44, 77, 90, 108, 120,
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27, 33, 56, 77, 90, 108, 120, 132,
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36, 53, 77, 90, 108, 120, 132, 144,
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74, 77, 90, 108, 120, 132, 144, 150,
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77, 90, 108, 120, 132, 144, 150, 154
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), // Quality 4
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38, 29, 24, 38, 58, 96, 123, 144,
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27, 29, 34, 46, 62, 123, 144, 173,
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34, 32, 38, 58, 96, 123, 144, 173,
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34, 42, 53, 70, 123, 144, 173, 192,
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43, 53, 90, 123, 144, 173, 192, 211,
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58, 85, 123, 144, 173, 192, 211, 230,
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118, 123, 144, 173, 192, 211, 230, 240,
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123, 144, 173, 192, 211, 230, 240, 246
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), // Quality 4 - 1.5x more aggressive
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intArrayOf(
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18, 14, 12, 18, 27, 45, 57, 68,
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13, 14, 16, 22, 30, 57, 68, 81,
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16, 15, 18, 27, 45, 57, 68, 81,
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16, 20, 25, 33, 57, 68, 81, 90,
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20, 25, 42, 57, 68, 81, 90, 99,
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27, 39, 57, 68, 81, 90, 99, 108,
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56, 57, 68, 81, 90, 99, 108, 113,
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57, 68, 81, 90, 99, 108, 113, 116
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), // Quality 5
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27, 21, 18, 27, 41, 68, 86, 102,
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20, 21, 24, 33, 45, 86, 102, 122,
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24, 23, 27, 41, 68, 86, 102, 122,
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24, 30, 38, 50, 86, 102, 122, 135,
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30, 38, 63, 86, 102, 122, 135, 149,
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41, 59, 86, 102, 122, 135, 149, 162,
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84, 86, 102, 122, 135, 149, 162, 170,
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86, 102, 122, 135, 149, 162, 170, 174
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), // Quality 5 - 1.4x more aggressive
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intArrayOf(
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15, 11, 9, 15, 23, 38, 48, 57,
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11, 11, 13, 18, 24, 48, 57, 68,
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13, 12, 15, 23, 38, 48, 57, 68,
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13, 16, 21, 28, 48, 57, 68, 75,
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17, 21, 35, 48, 57, 68, 75, 83,
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23, 33, 48, 57, 68, 75, 83, 90,
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46, 48, 57, 68, 75, 83, 90, 94,
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48, 57, 68, 75, 83, 90, 94, 96
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), // Quality 6
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21, 15, 13, 21, 32, 53, 67, 80,
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15, 15, 18, 25, 34, 67, 80, 95,
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18, 17, 21, 32, 53, 67, 80, 95,
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18, 22, 29, 39, 67, 80, 95, 105,
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24, 29, 49, 67, 80, 95, 105, 116,
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32, 46, 67, 80, 95, 105, 116, 126,
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64, 67, 80, 95, 105, 116, 126, 132,
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67, 80, 95, 105, 116, 126, 132, 134
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), // Quality 6 - 1.3x more aggressive
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intArrayOf(
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12, 9, 8, 12, 18, 30, 39, 45,
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9, 9, 11, 14, 20, 39, 45, 54,
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11, 10, 12, 18, 30, 39, 45, 54,
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11, 13, 17, 22, 39, 45, 54, 60,
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14, 17, 28, 39, 45, 54, 60, 66,
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18, 26, 39, 45, 54, 60, 66, 72,
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38, 39, 45, 54, 60, 66, 72, 75,
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39, 45, 54, 60, 66, 72, 75, 77
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), // Quality 7 (highest)
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16, 12, 10, 16, 23, 39, 51, 59,
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12, 12, 14, 18, 26, 51, 59, 70,
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14, 13, 16, 23, 39, 51, 59, 70,
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14, 17, 22, 29, 51, 59, 70, 78,
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18, 22, 36, 51, 59, 70, 78, 86,
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23, 34, 51, 59, 70, 78, 86, 94,
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49, 51, 59, 70, 78, 86, 94, 98,
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51, 59, 70, 78, 86, 94, 98, 100
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), // Quality 7 (highest) - 1.2x more aggressive for subtle improvement
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intArrayOf(
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1, 1, 1, 1, 1, 2, 2, 3,
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1, 1, 1, 1, 2, 2, 3, 4,
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1, 1, 1, 2, 2, 3, 4, 5,
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1, 1, 2, 2, 3, 4, 5, 6,
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1, 2, 2, 3, 4, 5, 6, 7,
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2, 2, 3, 4, 5, 6, 7, 8,
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2, 3, 4, 5, 6, 7, 8, 9,
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3, 4, 5, 6, 7, 8, 9, 10
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1, 1, 1, 1, 1, 2, 2, 4,
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1, 1, 1, 1, 2, 3, 4, 5,
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1, 1, 1, 2, 3, 4, 5, 6,
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1, 1, 2, 3, 4, 5, 6, 7,
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1, 2, 3, 4, 5, 6, 7, 8,
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2, 3, 4, 5, 6, 7, 8, 10,
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3, 4, 5, 6, 7, 8, 10, 11,
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4, 5, 6, 7, 8, 10, 11, 12
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)
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)
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// Quality settings for quantization (Cg channel - green-magenta, much more aggressive than Co)
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// Similar to NTSC Q channel reduction - exploit reduced human sensitivity to green-magenta
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// Now using 3x-5x more aggressive quantization, similar to actual NTSC Q bandwidth reduction
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var QUANT_TABLES_CG: Array<IntArray> = arrayOf( // Quality 0 (lowest) - 5x more aggressive than Co, maximum compression
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intArrayOf(
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 1 - 4.5x more aggressive, very low bandwidth
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intArrayOf(
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 2 - 4x more aggressive, preserve only DC and very low frequencies
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intArrayOf(
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120, 180, 240, 255, 255, 255, 255, 255,
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180, 240, 255, 255, 255, 255, 255, 255,
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240, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 3 - 3.5x more aggressive, basic low frequency preservation
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intArrayOf(
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84, 108, 144, 192, 255, 255, 255, 255,
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108, 144, 192, 255, 255, 255, 255, 255,
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144, 192, 255, 255, 255, 255, 255, 255,
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192, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 4 - 3x more aggressive, moderate compression
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intArrayOf(
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54, 72, 96, 128, 180, 255, 255, 255,
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72, 96, 128, 180, 255, 255, 255, 255,
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96, 128, 180, 255, 255, 255, 255, 255,
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128, 180, 255, 255, 255, 255, 255, 255,
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180, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 5 - 2.8x more aggressive, balanced compression
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intArrayOf(
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42, 56, 75, 100, 140, 200, 255, 255,
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56, 75, 100, 140, 200, 255, 255, 255,
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75, 100, 140, 200, 255, 255, 255, 255,
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100, 140, 200, 255, 255, 255, 255, 255,
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140, 200, 255, 255, 255, 255, 255, 255,
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200, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 6 - 2.5x more aggressive, good quality but still compressed
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intArrayOf(
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30, 40, 54, 72, 100, 144, 200, 255,
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40, 54, 72, 100, 144, 200, 255, 255,
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54, 72, 100, 144, 200, 255, 255, 255,
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72, 100, 144, 200, 255, 255, 255, 255,
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100, 144, 200, 255, 255, 255, 255, 255,
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144, 200, 255, 255, 255, 255, 255, 255,
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200, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 7 (highest) - 2x more aggressive, preserve more detail
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intArrayOf(
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2, 3, 4, 6, 8, 12, 16, 20,
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3, 4, 6, 8, 12, 16, 20, 24,
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4, 6, 8, 12, 16, 20, 24, 28,
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6, 8, 12, 16, 20, 24, 28, 32,
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8, 12, 16, 20, 24, 28, 32, 36,
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12, 16, 20, 24, 28, 32, 36, 40,
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16, 20, 24, 28, 32, 36, 40, 44,
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20, 24, 28, 32, 36, 40, 44, 48
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)
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)
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@@ -1772,7 +1858,8 @@ class GraphicsJSR223Delegate(private val vm: VM) {
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val blocksY = (height + 15) / 16
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val quantTableY = QUANT_TABLES_Y[quality]
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val quantTableC = QUANT_TABLES_C[quality]
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val quantTableCo = QUANT_TABLES_CO[quality]
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val quantTableCg = QUANT_TABLES_CG[quality]
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var readPtr = blockDataPtr
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@@ -1909,8 +1996,8 @@ class GraphicsJSR223Delegate(private val vm: VM) {
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// Perform hardware IDCT for each channel using fast algorithm
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val yBlock = tevIdct16x16_fast(yCoeffs, quantTableY)
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val coBlock = tevIdct8x8_fast(coCoeffs, quantTableC, true)
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val cgBlock = tevIdct8x8_fast(cgCoeffs, quantTableC, true)
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val coBlock = tevIdct8x8_fast(coCoeffs, quantTableCo, true)
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val cgBlock = tevIdct8x8_fast(cgCoeffs, quantTableCg, true)
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// Convert YCoCg-R to RGB
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val rgbData = tevYcocgToRGB(yBlock, coBlock, cgBlock)
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@@ -1965,8 +2052,8 @@ class GraphicsJSR223Delegate(private val vm: VM) {
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// Step 2: Decode residual DCT
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val yResidual = tevIdct16x16_fast(yCoeffs, quantTableY)
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val coResidual = tevIdct8x8_fast(coCoeffs, quantTableC, true)
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val cgResidual = tevIdct8x8_fast(cgCoeffs, quantTableC, true)
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val coResidual = tevIdct8x8_fast(coCoeffs, quantTableCo, true)
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val cgResidual = tevIdct8x8_fast(cgCoeffs, quantTableCg, true)
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// Step 3: Build motion-compensated YCoCg-R block and add residuals
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val finalY = IntArray(256)
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