more psychovisual model

This commit is contained in:
minjaesong
2025-09-22 00:03:45 +09:00
parent 613b8a97dd
commit 3584520ff9
2 changed files with 54 additions and 100 deletions

View File

@@ -4091,6 +4091,7 @@ class GraphicsJSR223Delegate(private val vm: VM) {
var ANISOTROPY_MULT = floatArrayOf(1.8f, 1.6f, 1.4f, 1.2f, 1.0f, 1.0f)
var ANISOTROPY_BIAS = floatArrayOf(0.2f, 0.1f, 0.0f, 0.0f, 0.0f, 0.0f)
var ANISOTROPY_BIAS_CHROMA = floatArrayOf(0.4f, 0.3f, 0.2f, 0.1f, 0.0f, 0.0f)
@@ -4119,8 +4120,14 @@ class GraphicsJSR223Delegate(private val vm: VM) {
return n / m
}
private val FOUR_PIXEL_DETAILER = 0.88f
fun perceptual_model3_chroma_basecurve(quality: Int, level: Int): Float {
return 1.0f - (1.0f / (0.5f * quality * quality + 1.0f)) * (level - 4f) // just a line that passes (4,1)
}
private val FOUR_PIXEL_DETAILER = 0.88f
private val TWO_PIXEL_DETAILER = 0.92f
// level is one-based index
private fun getPerceptualWeight(qYGlobal: Int, level: Int, subbandType: Int, isChroma: Boolean, maxLevels: Int): Float {
// Psychovisual model based on DWT coefficient statistics and Human Visual System sensitivity
@@ -4144,58 +4151,28 @@ class GraphicsJSR223Delegate(private val vm: VM) {
// HL subband - vertical details
val HL: Float = perceptual_model3_HL(qualityLevel, LH)
if (subbandType == 2) return HL * (if (level == 3) FOUR_PIXEL_DETAILER else 1f)
if (subbandType == 2) return HL * (if (level == 2) TWO_PIXEL_DETAILER else if (level == 3) FOUR_PIXEL_DETAILER else 1f)
// HH subband - diagonal details
else return perceptual_model3_HH(LH, HL) * (if (level == 3) FOUR_PIXEL_DETAILER else 1f)
else return perceptual_model3_HH(LH, HL) * (if (level == 2) TWO_PIXEL_DETAILER else if (level == 3) FOUR_PIXEL_DETAILER else 1f)
} else {
// CHROMA CHANNELS: Less critical for human perception, more aggressive quantization
when (subbandType) {
0 -> { // LL chroma - still important but less than luma
return 1f
return when {
level >= 6 -> 0.8f // Chroma LL6: Less critical than luma LL
level >= 5 -> 0.9f
else -> 1.0f
}
}
1 -> { // LH chroma - horizontal chroma details
return 1.8f
return when {
level >= 6 -> 1.0f
level >= 5 -> 1.2f
level >= 4 -> 1.4f
level >= 3 -> 1.6f
level >= 2 -> 1.8f
else -> 2.0f
}
}
2 -> { // HL chroma - vertical chroma details (even less critical)
return 1.3f;
return when {
level >= 6 -> 1.2f
level >= 5 -> 1.4f
level >= 4 -> 1.6f
level >= 3 -> 1.8f
level >= 2 -> 2.0f
else -> 2.2f
}
}
3 -> { // HH chroma - diagonal chroma details (most aggressive)
return 2.5f
return when {
level >= 6 -> 1.4f
level >= 5 -> 1.6f
level >= 4 -> 1.8f
level >= 3 -> 2.1f
level >= 2 -> 2.3f
else -> 2.5f
}
}
val base = perceptual_model3_chroma_basecurve(qualityLevel, level)
if (subbandType == 0) { // LL chroma - still important but less than luma
return 1.0f
}
else if (subbandType == 1) { // LH chroma - horizontal chroma details
return base.coerceAtLeast(1.0f)
}
else if (subbandType == 2) { // HL chroma - vertical chroma details (even less critical)
return (base * ANISOTROPY_MULT[qualityLevel]).coerceAtLeast(1.0f)
}
else { // HH chroma - diagonal chroma details (most aggressive)
return (base * ANISOTROPY_MULT[qualityLevel] + ANISOTROPY_BIAS_CHROMA[qualityLevel]).coerceAtLeast(1.0f)
}
}
return 1.0f
}
@@ -4218,7 +4195,9 @@ class GraphicsJSR223Delegate(private val vm: VM) {
subbands: List<DWTSubbandInfo>, baseQuantizer: Float, isChroma: Boolean, decompLevels: Int) {
// Initialize output array to zero (critical for detecting missing coefficients)
if (tavDebugFrameTarget >= 0) {
Arrays.fill(dequantised, 0.0f)
}
// Track coefficient coverage for debugging
var totalProcessed = 0