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more perceptual optimisation

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This commit is contained in:
minjaesong
2025-09-22 14:45:59 +09:00
parent 4851f61c56
commit e001445095
5 changed files with 442 additions and 248 deletions
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12
tsvm_core/src/net/torvald/tsvm/GraphicsJSR223Delegate.kt
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@@ -4091,8 +4091,8 @@ 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_MULT_CHROMA = floatArrayOf(2.4f, 2.2f, 2.0f, 1.7f, 1.4f, 1.0f)
var ANISOTROPY_BIAS_CHROMA = floatArrayOf(0.4f, 0.3f, 0.2f, 0.1f, 0.0f, 0.0f)
var ANISOTROPY_MULT_CHROMA = floatArrayOf(6.6f, 5.5f, 4.4f, 3.3f, 2.2f, 1.1f)
var ANISOTROPY_BIAS_CHROMA = floatArrayOf(1.0f, 0.8f, 0.6f, 0.4f, 0.2f, 0.0f)
@@ -4111,7 +4111,7 @@ class GraphicsJSR223Delegate(private val vm: VM) {
}
private fun perceptual_model3_HH(LH: Float, HL: Float): Float {
return 2f * (LH + HL) / 3f
return (HL / LH) * 1.44f;
}
fun perceptual_model3_LL(quality: Int, level: Int): Float {
@@ -4144,14 +4144,14 @@ class GraphicsJSR223Delegate(private val vm: VM) {
// LUMA CHANNEL: Based on statistical analysis from real video content
// LL subband - contains most image energy, preserve carefully
if (subbandType == 0) return perceptual_model3_LL(qualityLevel, level + 1)
if (subbandType == 0) return perceptual_model3_LL(qualityLevel, level)
// LH subband - horizontal details (human eyes more sensitive)
val LH: Float = perceptual_model3_LH(qualityLevel, level + 1)
val LH: Float = perceptual_model3_LH(qualityLevel, level)
if (subbandType == 1) return LH
// HL subband - vertical details
val HL: Float = perceptual_model3_HL(qualityLevel, LH + 1)
val HL: Float = perceptual_model3_HL(qualityLevel, LH)
if (subbandType == 2) return HL * (if (level == 2) TWO_PIXEL_DETAILER else if (level == 3) FOUR_PIXEL_DETAILER else 1f)
// HH subband - diagonal details