feat: add median-cut quantization for custom GIF palette

Generate optimal 256-color palette from rendered frames when
dithering disabled, replacing generic Plan9 palette for better
color accuracy without dithering artifacts.
This commit is contained in:
devilreef 2026-01-23 00:54:53 +06:00
parent fb3c4a0107
commit 6345eb9821
2 changed files with 179 additions and 10 deletions

View file

@ -4,6 +4,7 @@ import (
"bytes"
"fmt"
"image"
"image/color"
"image/color/palette"
"image/draw"
"image/gif"
@ -32,6 +33,27 @@ func RenderGIF(glbBytes []byte, atlas *texture.Atlas, background string, frames,
// Calculate rotation per frame
rotationPerFrame := 360.0 / float64(frames)
// Render all frames first (in parallel)
renderedFrames := make([]image.Image, frames)
var wg sync.WaitGroup
for i := 0; i < frames; i++ {
wg.Add(1)
go func(frameIdx int) {
defer wg.Done()
rotation := float64(frameIdx) * rotationPerFrame
renderedFrames[frameIdx] = RenderScene(mesh, atlasImage, rotation, width, height, bgColor)
}(i)
}
wg.Wait()
// Determine palette
var pal color.Palette
if dithering {
pal = palette.Plan9
} else {
pal = MedianCutQuantize(renderedFrames, 256)
}
// Create GIF structure
g := &gif.GIF{
Image: make([]*image.Paletted, frames),
@ -39,25 +61,18 @@ func RenderGIF(glbBytes []byte, atlas *texture.Atlas, background string, frames,
LoopCount: 0, // 0 = infinite loop
}
// Render frames in parallel
var wg sync.WaitGroup
// Quantize frames to palette (in parallel)
for i := 0; i < frames; i++ {
wg.Add(1)
go func(frameIdx int) {
defer wg.Done()
rotation := float64(frameIdx) * rotationPerFrame
// Render frame
img := RenderScene(mesh, atlasImage, rotation, width, height, bgColor)
// Quantize to palette
paletted := image.NewPaletted(img.Bounds(), palette.Plan9)
img := renderedFrames[frameIdx]
paletted := image.NewPaletted(img.Bounds(), pal)
if dithering {
draw.FloydSteinberg.Draw(paletted, img.Bounds(), img, image.Point{})
} else {
draw.Draw(paletted, img.Bounds(), img, image.Point{}, draw.Src)
}
g.Image[frameIdx] = paletted
g.Delay[frameIdx] = delay
}(i)

154
internal/render/quantize.go Normal file
View file

@ -0,0 +1,154 @@
package render
import (
"image"
"image/color"
"sort"
)
// MedianCutQuantize generates an optimal palette for the given images using median-cut algorithm
func MedianCutQuantize(images []image.Image, maxColors int) color.Palette {
// Collect all unique colors from all images
colorMap := make(map[uint32]struct{})
for _, img := range images {
bounds := img.Bounds()
for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
for x := bounds.Min.X; x < bounds.Max.X; x++ {
r, g, b, a := img.At(x, y).RGBA()
if a < 128<<8 {
continue // skip transparent pixels
}
// Pack RGB into uint32 (ignore alpha for palette)
key := (r>>8)<<16 | (g>>8)<<8 | (b >> 8)
colorMap[key] = struct{}{}
}
}
}
// Convert to slice of colors
colors := make([]rgbColor, 0, len(colorMap))
for key := range colorMap {
colors = append(colors, rgbColor{
r: uint8(key >> 16),
g: uint8(key >> 8),
b: uint8(key),
})
}
// If fewer colors than max, just return them all
if len(colors) <= maxColors {
palette := make(color.Palette, len(colors))
for i, c := range colors {
palette[i] = color.RGBA{c.r, c.g, c.b, 255}
}
return palette
}
// Perform median-cut
buckets := medianCut(colors, maxColors)
// Convert buckets to palette (average color of each bucket)
palette := make(color.Palette, len(buckets))
for i, bucket := range buckets {
palette[i] = bucket.average()
}
return palette
}
type rgbColor struct {
r, g, b uint8
}
type colorBucket []rgbColor
func (b colorBucket) average() color.RGBA {
if len(b) == 0 {
return color.RGBA{0, 0, 0, 255}
}
var rSum, gSum, bSum int
for _, c := range b {
rSum += int(c.r)
gSum += int(c.g)
bSum += int(c.b)
}
n := len(b)
return color.RGBA{uint8(rSum / n), uint8(gSum / n), uint8(bSum / n), 255}
}
func (b colorBucket) rangeOfChannel(ch int) int {
if len(b) == 0 {
return 0
}
min, max := 255, 0
for _, c := range b {
var v int
switch ch {
case 0:
v = int(c.r)
case 1:
v = int(c.g)
case 2:
v = int(c.b)
}
if v < min {
min = v
}
if v > max {
max = v
}
}
return max - min
}
func medianCut(colors []rgbColor, maxBuckets int) []colorBucket {
if len(colors) == 0 {
return nil
}
buckets := []colorBucket{colors}
for len(buckets) < maxBuckets {
// Find bucket with largest range
maxRange := 0
maxIdx := 0
maxCh := 0
for i, bucket := range buckets {
if len(bucket) < 2 {
continue
}
for ch := 0; ch < 3; ch++ {
r := bucket.rangeOfChannel(ch)
if r > maxRange {
maxRange = r
maxIdx = i
maxCh = ch
}
}
}
if maxRange == 0 {
break // can't split further
}
// Split the bucket with largest range
bucket := buckets[maxIdx]
sort.Slice(bucket, func(i, j int) bool {
switch maxCh {
case 0:
return bucket[i].r < bucket[j].r
case 1:
return bucket[i].g < bucket[j].g
default:
return bucket[i].b < bucket[j].b
}
})
mid := len(bucket) / 2
buckets[maxIdx] = bucket[:mid]
buckets = append(buckets, bucket[mid:])
}
return buckets
}