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TAV decoder visual "hack" (increasing acutance)

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minjaesong
2025-09-25 15:49:58 +09:00
parent e2dd0744d2
commit b4e9d84f5f
1 changed files with 43 additions and 15 deletions
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58
tsvm_core/src/net/torvald/tsvm/GraphicsJSR223Delegate.kt
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@@ -4551,13 +4551,13 @@ class GraphicsJSR223Delegate(private val vm: VM) {
val tileHeight = if (isMonoblock) height else PADDED_TILE_SIZE_Y
if (isLossless) {
tavApplyDWTInverseMultiLevel(yTile, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(coTile, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(cgTile, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(yTile, tileWidth, tileHeight, decompLevels, 0, TavFilterIntra)
tavApplyDWTInverseMultiLevel(coTile, tileWidth, tileHeight, decompLevels, 0, TavFilterIntra)
tavApplyDWTInverseMultiLevel(cgTile, tileWidth, tileHeight, decompLevels, 0, TavFilterIntra)
} else {
tavApplyDWTInverseMultiLevel(yTile, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(coTile, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(cgTile, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(yTile, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterIntra)
tavApplyDWTInverseMultiLevel(coTile, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterIntra)
tavApplyDWTInverseMultiLevel(cgTile, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterIntra)
}
// Debug: Check coefficient values after inverse DWT
@@ -5113,13 +5113,13 @@ class GraphicsJSR223Delegate(private val vm: VM) {
val tileHeight = if (isMonoblock) height else PADDED_TILE_SIZE_Y
if (isLossless) {
tavApplyDWTInverseMultiLevel(currentY, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(currentCo, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(currentCg, tileWidth, tileHeight, decompLevels, 0)
tavApplyDWTInverseMultiLevel(currentY, tileWidth, tileHeight, decompLevels, 0, TavFilterDelta)
tavApplyDWTInverseMultiLevel(currentCo, tileWidth, tileHeight, decompLevels, 0, TavFilterDelta)
tavApplyDWTInverseMultiLevel(currentCg, tileWidth, tileHeight, decompLevels, 0, TavFilterDelta)
} else {
tavApplyDWTInverseMultiLevel(currentY, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(currentCo, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(currentCg, tileWidth, tileHeight, decompLevels, waveletFilter)
tavApplyDWTInverseMultiLevel(currentY, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterDelta)
tavApplyDWTInverseMultiLevel(currentCo, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterDelta)
tavApplyDWTInverseMultiLevel(currentCg, tileWidth, tileHeight, decompLevels, waveletFilter, TavFilterDelta)
}
// Debug: Check coefficient values after inverse DWT
@@ -5265,7 +5265,35 @@ class GraphicsJSR223Delegate(private val vm: VM) {
)
}
private fun tavApplyDWTInverseMultiLevel(data: FloatArray, width: Int, height: Int, levels: Int, filterType: Int) {
private interface TavWaveletFilter {
fun getCoeffMultiplier(level: Int): Float // level 0: finest
}
private object TavFilterDelta : TavWaveletFilter {
override fun getCoeffMultiplier(level: Int): Float {
//return 1f
return when (level) {
0 -> 6f/5f
1 -> 5f/5f
2 -> 5f/6f
else -> 1f
}
}
}
private object TavFilterIntra : TavWaveletFilter {
override fun getCoeffMultiplier(level: Int): Float {
//return 1f
return when (level) {
0 -> 6f/5f
1 -> 5f/5f
2 -> 5f/6f
else -> 1f
}
}
}
private fun tavApplyDWTInverseMultiLevel(data: FloatArray, width: Int, height: Int, levels: Int, filterType: Int, sharpenFilter: TavWaveletFilter) {
// Multi-level inverse DWT - reconstruct from smallest to largest (reverse of encoder)
val maxSize = kotlin.math.max(width, height)
val tempRow = FloatArray(maxSize)
@@ -5302,7 +5330,7 @@ class GraphicsJSR223Delegate(private val vm: VM) {
// Column inverse transform first (vertical)
for (x in 0 until currentWidth) {
for (y in 0 until currentHeight) {
tempCol[y] = data[y * width + x]
tempCol[y] = data[y * width + x] * sharpenFilter.getCoeffMultiplier(level)
}
if (filterType == 0) {
@@ -5319,7 +5347,7 @@ class GraphicsJSR223Delegate(private val vm: VM) {
// Row inverse transform second (horizontal)
for (y in 0 until currentHeight) {
for (x in 0 until currentWidth) {
tempRow[x] = data[y * width + x]
tempRow[x] = data[y * width + x] * sharpenFilter.getCoeffMultiplier(level)
}
if (filterType == 0) {