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more lazy q table prep
This commit is contained in:
minjaesong
@@ -1270,324 +1270,39 @@ class GraphicsJSR223Delegate(private val vm: VM) {
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// TEV (TSVM Enhanced Video) format support
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// Created by Claude on 2025-08-17
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private val QUANT_MULT_Y = intArrayOf(40, 20, 10, 8, 6, 5, 4, 1)
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private val QUANT_MULT_CO = intArrayOf(40, 20, 10, 8, 6, 5, 4, 1)
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private val QUANT_MULT_CG = intArrayOf(80, 40, 20, 16, 12, 10, 8, 2)
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// Quality settings for quantization (Y channel) - 16x16 tables
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var QUANT_TABLES_Y: Array<IntArray> = arrayOf( // Quality 0 (lowest) - 16x16 table
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intArrayOf(
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80, 60, 50, 80, 120, 200, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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55, 60, 70, 95, 130, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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70, 65, 80, 120, 200, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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70, 85, 110, 145, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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90, 110, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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120, 175, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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245, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 1
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intArrayOf(
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40, 30, 25, 40, 60, 100, 128, 150, 128, 150, 180, 200, 220, 240, 250, 255,
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28, 30, 35, 48, 65, 128, 150, 180, 150, 180, 200, 220, 240, 250, 255, 255,
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35, 33, 40, 60, 100, 128, 150, 180, 150, 180, 200, 220, 240, 250, 255, 255,
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35, 43, 55, 73, 128, 150, 180, 200, 180, 200, 220, 240, 250, 255, 255, 255,
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45, 55, 93, 128, 150, 180, 200, 220, 200, 220, 240, 250, 255, 255, 255, 255,
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60, 88, 128, 150, 180, 200, 220, 240, 220, 240, 250, 255, 255, 255, 255, 255,
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123, 128, 150, 180, 200, 220, 240, 250, 240, 250, 255, 255, 255, 255, 255, 255,
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128, 150, 180, 200, 220, 240, 250, 255, 250, 255, 255, 255, 255, 255, 255, 255,
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128, 150, 180, 200, 220, 240, 250, 255, 250, 255, 255, 255, 255, 255, 255, 255,
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150, 180, 200, 220, 240, 250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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180, 200, 220, 240, 250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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200, 220, 240, 250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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220, 240, 250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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240, 250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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250, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
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255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255
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), // Quality 2
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intArrayOf(
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20, 15, 13, 20, 30, 50, 64, 75, 64, 75, 90, 100, 110, 120, 125, 128,
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14, 15, 18, 24, 33, 64, 75, 90, 75, 90, 100, 110, 120, 125, 128, 140,
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18, 17, 20, 30, 50, 64, 75, 90, 75, 90, 100, 110, 120, 125, 128, 140,
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18, 22, 28, 37, 64, 75, 90, 100, 90, 100, 110, 120, 125, 128, 140, 150,
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23, 28, 47, 64, 75, 90, 100, 110, 100, 110, 120, 125, 128, 140, 150, 160,
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30, 44, 64, 75, 90, 100, 110, 120, 110, 120, 125, 128, 140, 150, 160, 170,
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62, 64, 75, 90, 100, 110, 120, 125, 120, 125, 128, 140, 150, 160, 170, 180,
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64, 75, 90, 100, 110, 120, 125, 128, 125, 128, 140, 150, 160, 170, 180, 190,
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64, 75, 90, 100, 110, 120, 125, 128, 125, 128, 140, 150, 160, 170, 180, 190,
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75, 90, 100, 110, 120, 125, 128, 140, 128, 140, 150, 160, 170, 180, 190, 200,
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90, 100, 110, 120, 125, 128, 140, 150, 140, 150, 160, 170, 180, 190, 200, 210,
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100, 110, 120, 125, 128, 140, 150, 160, 150, 160, 170, 180, 190, 200, 210, 220,
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110, 120, 125, 128, 140, 150, 160, 170, 160, 170, 180, 190, 200, 210, 220, 230,
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120, 125, 128, 140, 150, 160, 170, 180, 170, 180, 190, 200, 210, 220, 230, 240,
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125, 128, 140, 150, 160, 170, 180, 190, 180, 190, 200, 210, 220, 230, 240, 250,
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128, 140, 150, 160, 170, 180, 190, 200, 190, 200, 210, 220, 230, 240, 250, 255
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), // Quality 3
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intArrayOf(
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16, 12, 10, 16, 24, 40, 51, 60, 51, 60, 72, 80, 88, 96, 100, 102,
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11, 12, 14, 19, 26, 51, 60, 72, 60, 72, 80, 88, 96, 100, 102, 110,
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14, 13, 16, 24, 40, 51, 60, 72, 60, 72, 80, 88, 96, 100, 102, 110,
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14, 17, 22, 29, 51, 60, 72, 80, 72, 80, 88, 96, 100, 102, 110, 120,
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18, 22, 37, 51, 60, 72, 80, 88, 80, 88, 96, 100, 102, 110, 120, 130,
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24, 35, 51, 60, 72, 80, 88, 96, 88, 96, 100, 102, 110, 120, 130, 140,
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49, 51, 60, 72, 80, 88, 96, 100, 96, 100, 102, 110, 120, 130, 140, 150,
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51, 60, 72, 80, 88, 96, 100, 102, 100, 102, 110, 120, 130, 140, 150, 160,
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51, 60, 72, 80, 88, 96, 100, 102, 100, 102, 110, 120, 130, 140, 150, 160,
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60, 72, 80, 88, 96, 100, 102, 110, 102, 110, 120, 130, 140, 150, 160, 170,
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72, 80, 88, 96, 100, 102, 110, 120, 110, 120, 130, 140, 150, 160, 170, 180,
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80, 88, 96, 100, 102, 110, 120, 130, 120, 130, 140, 150, 160, 170, 180, 190,
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88, 96, 100, 102, 110, 120, 130, 140, 130, 140, 150, 160, 170, 180, 190, 200,
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96, 100, 102, 110, 120, 130, 140, 150, 140, 150, 160, 170, 180, 190, 200, 210,
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100, 102, 110, 120, 130, 140, 150, 160, 150, 160, 170, 180, 190, 200, 210, 220,
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102, 110, 120, 130, 140, 150, 160, 170, 160, 170, 180, 190, 200, 210, 220, 230
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), // Quality 4
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intArrayOf(
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12, 9, 8, 12, 18, 30, 38, 45, 38, 45, 54, 60, 66, 72, 75, 77,
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8, 9, 11, 14, 20, 38, 45, 54, 45, 54, 60, 66, 72, 75, 77, 85,
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11, 10, 12, 18, 30, 38, 45, 54, 45, 54, 60, 66, 72, 75, 77, 85,
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11, 13, 17, 22, 38, 45, 54, 60, 54, 60, 66, 72, 75, 77, 85, 95,
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14, 17, 28, 38, 45, 54, 60, 66, 60, 66, 72, 75, 77, 85, 95, 105,
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18, 26, 38, 45, 54, 60, 66, 72, 66, 72, 75, 77, 85, 95, 105, 115,
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37, 38, 45, 54, 60, 66, 72, 75, 72, 75, 77, 85, 95, 105, 115, 125,
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38, 45, 54, 60, 66, 72, 75, 77, 75, 77, 85, 95, 105, 115, 125, 135,
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38, 45, 54, 60, 66, 72, 75, 77, 75, 77, 85, 95, 105, 115, 125, 135,
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45, 54, 60, 66, 72, 75, 77, 85, 77, 85, 95, 105, 115, 125, 135, 145,
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54, 60, 66, 72, 75, 77, 85, 95, 85, 95, 105, 115, 125, 135, 145, 155,
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60, 66, 72, 75, 77, 85, 95, 105, 95, 105, 115, 125, 135, 145, 155, 165,
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66, 72, 75, 77, 85, 95, 105, 115, 105, 115, 125, 135, 145, 155, 165, 175,
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72, 75, 77, 85, 95, 105, 115, 125, 115, 125, 135, 145, 155, 165, 175, 185,
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75, 77, 85, 95, 105, 115, 125, 135, 125, 135, 145, 155, 165, 175, 185, 195,
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77, 85, 95, 105, 115, 125, 135, 145, 135, 145, 155, 165, 175, 185, 195, 205
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), // Quality 5
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intArrayOf(
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10, 7, 6, 10, 15, 25, 32, 38, 32, 38, 45, 50, 55, 60, 63, 65,
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7, 7, 9, 12, 16, 32, 38, 45, 38, 45, 50, 55, 60, 63, 65, 70,
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9, 8, 10, 15, 25, 32, 38, 45, 38, 45, 50, 55, 60, 63, 65, 70,
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9, 11, 14, 18, 32, 38, 45, 50, 45, 50, 55, 60, 63, 65, 70, 75,
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12, 14, 23, 32, 38, 45, 50, 55, 50, 55, 60, 63, 65, 70, 75, 80,
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15, 22, 32, 38, 45, 50, 55, 60, 55, 60, 63, 65, 70, 75, 80, 85,
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31, 32, 38, 45, 50, 55, 60, 63, 60, 63, 65, 70, 75, 80, 85, 90,
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32, 38, 45, 50, 55, 60, 63, 65, 63, 65, 70, 75, 80, 85, 90, 95,
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32, 38, 45, 50, 55, 60, 63, 65, 63, 65, 70, 75, 80, 85, 90, 95,
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38, 45, 50, 55, 60, 63, 65, 70, 65, 70, 75, 80, 85, 90, 95, 100,
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45, 50, 55, 60, 63, 65, 70, 75, 70, 75, 80, 85, 90, 95, 100, 105,
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50, 55, 60, 63, 65, 70, 75, 80, 75, 80, 85, 90, 95, 100, 105, 110,
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55, 60, 63, 65, 70, 75, 80, 85, 80, 85, 90, 95, 100, 105, 110, 115,
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60, 63, 65, 70, 75, 80, 85, 90, 85, 90, 95, 100, 105, 110, 115, 120,
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63, 65, 70, 75, 80, 85, 90, 95, 90, 95, 100, 105, 110, 115, 120, 125,
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65, 70, 75, 80, 85, 90, 95, 100, 95, 100, 105, 110, 115, 120, 125, 130
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), // Quality 6
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intArrayOf(
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8, 6, 5, 8, 12, 20, 26, 30, 26, 30, 36, 40, 44, 48, 50, 52,
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6, 6, 7, 10, 13, 26, 30, 36, 30, 36, 40, 44, 48, 50, 52, 56,
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7, 7, 8, 12, 20, 26, 30, 36, 30, 36, 40, 44, 48, 50, 52, 56,
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7, 9, 11, 15, 26, 30, 36, 40, 36, 40, 44, 48, 50, 52, 56, 60,
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10, 11, 19, 26, 30, 36, 40, 44, 40, 44, 48, 50, 52, 56, 60, 64,
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12, 17, 26, 30, 36, 40, 44, 48, 44, 48, 50, 52, 56, 60, 64, 68,
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25, 26, 30, 36, 40, 44, 48, 50, 48, 50, 52, 56, 60, 64, 68, 72,
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26, 30, 36, 40, 44, 48, 50, 52, 50, 52, 56, 60, 64, 68, 72, 76,
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26, 30, 36, 40, 44, 48, 50, 52, 50, 52, 56, 60, 64, 68, 72, 76,
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30, 36, 40, 44, 48, 50, 52, 56, 52, 56, 60, 64, 68, 72, 76, 80,
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36, 40, 44, 48, 50, 52, 56, 60, 56, 60, 64, 68, 72, 76, 80, 84,
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40, 44, 48, 50, 52, 56, 60, 64, 60, 64, 68, 72, 76, 80, 84, 88,
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44, 48, 50, 52, 56, 60, 64, 68, 64, 68, 72, 76, 80, 84, 88, 92,
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48, 50, 52, 56, 60, 64, 68, 72, 68, 72, 76, 80, 84, 88, 92, 96,
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50, 52, 56, 60, 64, 68, 72, 76, 72, 76, 80, 84, 88, 92, 96, 100,
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52, 56, 60, 64, 68, 72, 76, 80, 76, 80, 84, 88, 92, 96, 100, 104
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), // Quality 7 (highest)
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intArrayOf(
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2, 1, 1, 2, 3, 5, 6, 7, 6, 7, 8, 9, 10, 11, 12, 13,
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1, 1, 1, 2, 3, 6, 7, 9, 7, 9, 10, 11, 12, 13, 14, 15,
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1, 1, 2, 3, 5, 6, 7, 9, 7, 9, 10, 11, 12, 13, 14, 15,
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1, 2, 3, 4, 6, 7, 9, 10, 9, 10, 11, 12, 13, 14, 15, 16,
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2, 3, 5, 6, 7, 9, 10, 11, 10, 11, 12, 13, 14, 15, 16, 17,
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3, 4, 6, 7, 9, 10, 11, 12, 11, 12, 13, 14, 15, 16, 17, 18,
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6, 6, 7, 9, 10, 11, 12, 13, 12, 13, 14, 15, 16, 17, 18, 19,
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6, 7, 9, 10, 11, 12, 13, 14, 13, 14, 15, 16, 17, 18, 19, 20,
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6, 7, 9, 10, 11, 12, 13, 14, 13, 14, 15, 16, 17, 18, 19, 20,
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7, 9, 10, 11, 12, 13, 14, 15, 14, 15, 16, 17, 18, 19, 20, 21,
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9, 10, 11, 12, 13, 14, 15, 16, 15, 16, 17, 18, 19, 20, 21, 22,
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10, 11, 12, 13, 14, 15, 16, 17, 16, 17, 18, 19, 20, 21, 22, 23,
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11, 12, 13, 14, 15, 16, 17, 18, 17, 18, 19, 20, 21, 22, 23, 24,
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12, 13, 14, 15, 16, 17, 18, 19, 18, 19, 20, 21, 22, 23, 24, 25,
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13, 14, 15, 16, 17, 18, 19, 20, 19, 20, 21, 22, 23, 24, 25, 26,
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14, 15, 16, 17, 18, 19, 20, 21, 20, 21, 22, 23, 24, 25, 26, 27
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)
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)
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val QUANT_TABLE_Y: IntArray = intArrayOf(
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2, 1, 1, 2, 3, 5, 6, 7, 6, 7, 8, 9, 10, 11, 12, 13,
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1, 1, 1, 2, 3, 6, 7, 9, 7, 9, 10, 11, 12, 13, 14, 15,
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1, 1, 2, 3, 5, 6, 7, 9, 7, 9, 10, 11, 12, 13, 14, 15,
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1, 2, 3, 4, 6, 7, 9, 10, 9, 10, 11, 12, 13, 14, 15, 16,
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2, 3, 5, 6, 7, 9, 10, 11, 10, 11, 12, 13, 14, 15, 16, 17,
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3, 4, 6, 7, 9, 10, 11, 12, 11, 12, 13, 14, 15, 16, 17, 18,
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6, 6, 7, 9, 10, 11, 12, 13, 12, 13, 14, 15, 16, 17, 18, 19,
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6, 7, 9, 10, 11, 12, 13, 14, 13, 14, 15, 16, 17, 18, 19, 20,
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6, 7, 9, 10, 11, 12, 13, 14, 13, 14, 15, 16, 17, 18, 19, 20,
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7, 9, 10, 11, 12, 13, 14, 15, 14, 15, 16, 17, 18, 19, 20, 21,
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9, 10, 11, 12, 13, 14, 15, 16, 15, 16, 17, 18, 19, 20, 21, 22,
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10, 11, 12, 13, 14, 15, 16, 17, 16, 17, 18, 19, 20, 21, 22, 23,
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11, 12, 13, 14, 15, 16, 17, 18, 17, 18, 19, 20, 21, 22, 23, 24,
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12, 13, 14, 15, 16, 17, 18, 19, 18, 19, 20, 21, 22, 23, 24, 25,
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13, 14, 15, 16, 17, 18, 19, 20, 19, 20, 21, 22, 23, 24, 25, 26,
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14, 15, 16, 17, 18, 19, 20, 21, 20, 21, 22, 23, 24, 25, 26, 27)
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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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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 - 1.8x more aggressive
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intArrayOf(
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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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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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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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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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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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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(
|
||||
1, 1, 1, 1, 1, 2, 2, 4,
|
||||
1, 1, 1, 1, 2, 3, 4, 5,
|
||||
1, 1, 1, 2, 3, 4, 5, 6,
|
||||
1, 1, 2, 3, 4, 5, 6, 7,
|
||||
1, 2, 3, 4, 5, 6, 7, 8,
|
||||
2, 3, 4, 5, 6, 7, 8, 10,
|
||||
3, 4, 5, 6, 7, 8, 10, 11,
|
||||
4, 5, 6, 7, 8, 10, 11, 12
|
||||
)
|
||||
)
|
||||
|
||||
// Quality settings for quantization (Cg channel - green-magenta, much more aggressive than Co)
|
||||
// Similar to NTSC Q channel reduction - exploit reduced human sensitivity to green-magenta
|
||||
// Now using 3x-5x more aggressive quantization, similar to actual NTSC Q bandwidth reduction
|
||||
var QUANT_TABLES_CG: Array<IntArray> = arrayOf( // Quality 0 (lowest) - 5x more aggressive than Co, maximum compression
|
||||
intArrayOf(
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 1 - 4.5x more aggressive, very low bandwidth
|
||||
intArrayOf(
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 2 - 4x more aggressive, preserve only DC and very low frequencies
|
||||
intArrayOf(
|
||||
120, 180, 240, 255, 255, 255, 255, 255,
|
||||
180, 240, 255, 255, 255, 255, 255, 255,
|
||||
240, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 3 - 3.5x more aggressive, basic low frequency preservation
|
||||
intArrayOf(
|
||||
84, 108, 144, 192, 255, 255, 255, 255,
|
||||
108, 144, 192, 255, 255, 255, 255, 255,
|
||||
144, 192, 255, 255, 255, 255, 255, 255,
|
||||
192, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 4 - 3x more aggressive, moderate compression
|
||||
intArrayOf(
|
||||
54, 72, 96, 128, 180, 255, 255, 255,
|
||||
72, 96, 128, 180, 255, 255, 255, 255,
|
||||
96, 128, 180, 255, 255, 255, 255, 255,
|
||||
128, 180, 255, 255, 255, 255, 255, 255,
|
||||
180, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 5 - 2.8x more aggressive, balanced compression
|
||||
intArrayOf(
|
||||
42, 56, 75, 100, 140, 200, 255, 255,
|
||||
56, 75, 100, 140, 200, 255, 255, 255,
|
||||
75, 100, 140, 200, 255, 255, 255, 255,
|
||||
100, 140, 200, 255, 255, 255, 255, 255,
|
||||
140, 200, 255, 255, 255, 255, 255, 255,
|
||||
200, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 6 - 2.5x more aggressive, good quality but still compressed
|
||||
intArrayOf(
|
||||
30, 40, 54, 72, 100, 144, 200, 255,
|
||||
40, 54, 72, 100, 144, 200, 255, 255,
|
||||
54, 72, 100, 144, 200, 255, 255, 255,
|
||||
72, 100, 144, 200, 255, 255, 255, 255,
|
||||
100, 144, 200, 255, 255, 255, 255, 255,
|
||||
144, 200, 255, 255, 255, 255, 255, 255,
|
||||
200, 255, 255, 255, 255, 255, 255, 255,
|
||||
255, 255, 255, 255, 255, 255, 255, 255
|
||||
), // Quality 7 (highest) - 2x more aggressive, preserve more detail
|
||||
intArrayOf(
|
||||
2, 3, 4, 6, 8, 12, 16, 20,
|
||||
3, 4, 6, 8, 12, 16, 20, 24,
|
||||
4, 6, 8, 12, 16, 20, 24, 28,
|
||||
6, 8, 12, 16, 20, 24, 28, 32,
|
||||
8, 12, 16, 20, 24, 28, 32, 36,
|
||||
12, 16, 20, 24, 28, 32, 36, 40,
|
||||
16, 20, 24, 28, 32, 36, 40, 44,
|
||||
20, 24, 28, 32, 36, 40, 44, 48
|
||||
)
|
||||
)
|
||||
val QUANT_TABLE_C: IntArray = intArrayOf(
|
||||
2, 3, 4, 6, 8, 12, 16, 20,
|
||||
3, 4, 6, 8, 12, 16, 20, 24,
|
||||
4, 6, 8, 12, 16, 20, 24, 28,
|
||||
6, 8, 12, 16, 20, 24, 28, 32,
|
||||
8, 12, 16, 20, 24, 28, 32, 36,
|
||||
12, 16, 20, 24, 28, 32, 36, 40,
|
||||
16, 20, 24, 28, 32, 36, 40, 44,
|
||||
20, 24, 28, 32, 36, 40, 44, 48)
|
||||
|
||||
/**
|
||||
* Upload RGB frame buffer to graphics framebuffer with dithering
|
||||
@@ -1856,10 +1571,14 @@ class GraphicsJSR223Delegate(private val vm: VM) {
|
||||
|
||||
val blocksX = (width + 15) / 16 // 16x16 blocks now
|
||||
val blocksY = (height + 15) / 16
|
||||
|
||||
val quantTableY = QUANT_TABLES_Y[quality]
|
||||
val quantTableCo = QUANT_TABLES_CO[quality]
|
||||
val quantTableCg = QUANT_TABLES_CG[quality]
|
||||
|
||||
val quantYmult = QUANT_MULT_Y[quality]
|
||||
val quantCOmult = QUANT_MULT_CO[quality]
|
||||
val quantCGmult = QUANT_MULT_CG[quality]
|
||||
|
||||
val quantTableY = QUANT_TABLE_Y.map { it * quantYmult }.toIntArray()
|
||||
val quantTableCo = QUANT_TABLE_C.map { it * quantCOmult }.toIntArray()
|
||||
val quantTableCg = QUANT_TABLE_C.map { it * quantCGmult }.toIntArray()
|
||||
|
||||
var readPtr = blockDataPtr
|
||||
|
||||
|
||||
Reference in New Issue
Block a user