start working out how the color versions of these work...
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@ -5,3 +5,5 @@ This repo implements a number of the dithering methods detailed on <https://surm
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light.png, light-hires.jpg, dark.png, and dark-hires.jpg are from Surma's post, used under CC BY-NC-SA 4.0.
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david.png is taken from the wikipedia article on dithering, where it was released into the public domain.
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I took cricket.jpg.
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74
color_quant.go
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74
color_quant.go
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@ -0,0 +1,74 @@
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package main
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import (
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"image/color"
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"math/rand"
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)
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var bwpallette = color.Palette{
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color.Black,
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color.White,
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}
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var sixteencolors = color.Palette{
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color.RGBA{0, 0, 0, 255}, // black
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color.RGBA{0, 0, 127, 255}, // navy
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color.RGBA{0, 0, 255, 255}, // blue
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color.RGBA{0, 127, 0, 255}, // green
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color.RGBA{0, 255, 0, 255}, // lime
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color.RGBA{127, 0, 0, 255}, // maroon
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color.RGBA{255, 0, 0, 255}, // red
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color.RGBA{0, 127, 127, 255}, // teal
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color.RGBA{127, 0, 127, 255}, // purple
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color.RGBA{127, 127, 0, 255}, // olive
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color.RGBA{0, 255, 255, 255}, // aqua
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color.RGBA{255, 0, 255, 255}, // fuchsia
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color.RGBA{255, 255, 0, 255}, // yellow
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color.RGBA{127, 127, 127, 255}, // gray
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color.RGBA{192, 192, 192, 255}, // silver
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color.RGBA{255, 255, 255, 255}, // white
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}
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func permuteColor(c color.Color, i uint8) color.Color {
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r, g, b, a := c.RGBA()
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return color.RGBA{
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uint8(r>>8) + i,
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uint8(g>>8) + i,
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uint8(b>>8) + i,
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uint8(a >> 8),
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}
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}
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// naivePalette smashes each pixel to its closest color in the pallette.
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func naivePalette(p color.Palette) quantizerFunction {
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return func(_, _ int, c color.Color) color.Color {
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return p[p.Index(c)]
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}
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}
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// randomNoisePalette injects random noise into the quantization step
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func randomNoisePalette(p color.Palette) quantizerFunction {
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return func(_, _ int, c color.Color) color.Color {
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// the randomization here is tuned for the sixteen-color palette for now.
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// I think the proper theory here is probably "only try and randomize within one palette swatch in either direction".
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// it might be possible to instead permute the color selected _from the palette_ (i.e. modify the result of p.Index(c))...
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// ...but I think for that to work you'd need a proper "ordering" for the colors.
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noise := rand.Intn(64) - 32
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if noise < 0 {
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noise = 0
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}
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rc := permuteColor(c, uint8(noise))
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return p[p.Index(rc)]
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}
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}
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// color permutation algo: https://en.wikipedia.org/wiki/Ordered_dithering#Algorithm
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func colorBayer(level int, p color.Palette) quantizerFunction {
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b := newBayer(level)
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r := len(p)
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return func(x, y int, c color.Color) color.Color {
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v := float64(r) * (b.valueAt(x, y) - 0.5)
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rc := permuteColor(c, uint8(v))
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return p[p.Index(rc)]
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}
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}
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BIN
example/cricket.jpg
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BIN
example/cricket.jpg
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Binary file not shown.
After Width: | Height: | Size: 71 KiB |
31
main.go
31
main.go
@ -3,6 +3,7 @@ package main
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import (
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"fmt"
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"image"
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"image/color"
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_ "image/jpeg"
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"image/png"
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"math/rand"
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@ -10,6 +11,27 @@ import (
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"time"
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)
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type coord struct {
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x, y int
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}
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// provided x, y, and color at location, return a color
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type quantizerFunction func(int, int, color.Color) color.Color
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// apply sequentially applies a quantizing function to an image and returns the result
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func apply(i image.Image, f quantizerFunction) image.Image {
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out := image.NewRGBA(image.Rect(0, 0, i.Bounds().Max.X, i.Bounds().Max.Y))
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b := out.Bounds()
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for y := b.Min.Y; y < b.Max.Y; y++ {
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for x := b.Min.X; x < b.Max.X; x++ {
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out.Set(x, y, f(x, y, i.At(x, y)))
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}
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}
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return out
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}
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func main() {
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if len(os.Args) == 1 || len(os.Args) > 4 || os.Args[1] == "help" {
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fmt.Printf(`usage: %s <path/to/image.ext> <dither_option> <path/to/output.png>
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@ -38,17 +60,26 @@ func main() {
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new = apply(i, noOp)
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case "naive":
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new = apply(i, naiveBW)
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case "palette":
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new = apply(i, naivePalette(sixteencolors))
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case "randomnoise":
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rand.Seed(time.Now().UnixNano())
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new = apply(i, randomNoise)
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case "noisepalette":
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rand.Seed(time.Now().UnixNano())
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new = apply(i, randomNoisePalette(sixteencolors))
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case "bayer0":
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new = apply(i, bayerDithering(0, false))
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case "bayer0p":
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new = apply(i, colorBayer(0, sixteencolors))
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case "bayer0n":
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new = apply(i, bayerDithering(0, true))
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case "bayer1":
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new = apply(i, bayerDithering(1, false))
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case "bayer1n":
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new = apply(i, bayerDithering(1, true))
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case "bayer1p":
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new = apply(i, colorBayer(1, sixteencolors))
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case "simpleerror":
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new = apply(i, simpleErrorDiffusion())
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case "floydsteinberg":
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22
quantizer.go
22
quantizer.go
@ -1,28 +1,10 @@
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package main
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import (
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"image"
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"image/color"
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"math/rand"
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)
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// provided x, y, and color at location, return a color
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type quantizerFunction func(int, int, color.Color) color.Color
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// apply sequentially applies a quantizing function to an image and returns the result
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func apply(i image.Image, f quantizerFunction) image.Image {
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out := image.NewRGBA(image.Rect(0, 0, i.Bounds().Max.X, i.Bounds().Max.Y))
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b := out.Bounds()
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for y := b.Min.Y; y < b.Max.Y; y++ {
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for x := b.Min.X; x < b.Max.X; x++ {
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out.Set(x, y, f(x, y, i.At(x, y)))
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}
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}
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return out
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}
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// noOp just clones colors from one image to another, to validate file handling.
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func noOp(_, _ int, c color.Color) color.Color {
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return c
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@ -57,10 +39,6 @@ type bayer struct {
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matrix map[coord]float64
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}
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type coord struct {
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x, y int
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}
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func (b *bayer) valueAt(x, y int) float64 {
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return b.matrix[coord{x: x % b.side, y: y % b.side}]
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}
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