diff --git a/README.md b/README.md
index 7bec301..a4cda23 100644
--- a/README.md
+++ b/README.md
@@ -5,3 +5,5 @@ This repo implements a number of the dithering methods detailed on <https://surm
 light.png, light-hires.jpg, dark.png, and dark-hires.jpg are from Surma's post, used under CC BY-NC-SA 4.0.
 
 david.png is taken from the wikipedia article on dithering, where it was released into the public domain.
+
+I took cricket.jpg.
diff --git a/color_quant.go b/color_quant.go
new file mode 100644
index 0000000..f32e433
--- /dev/null
+++ b/color_quant.go
@@ -0,0 +1,74 @@
+package main
+
+import (
+	"image/color"
+	"math/rand"
+)
+
+var bwpallette = color.Palette{
+	color.Black,
+	color.White,
+}
+
+var sixteencolors = color.Palette{
+	color.RGBA{0, 0, 0, 255},       // black
+	color.RGBA{0, 0, 127, 255},     // navy
+	color.RGBA{0, 0, 255, 255},     // blue
+	color.RGBA{0, 127, 0, 255},     // green
+	color.RGBA{0, 255, 0, 255},     // lime
+	color.RGBA{127, 0, 0, 255},     // maroon
+	color.RGBA{255, 0, 0, 255},     // red
+	color.RGBA{0, 127, 127, 255},   // teal
+	color.RGBA{127, 0, 127, 255},   // purple
+	color.RGBA{127, 127, 0, 255},   // olive
+	color.RGBA{0, 255, 255, 255},   // aqua
+	color.RGBA{255, 0, 255, 255},   // fuchsia
+	color.RGBA{255, 255, 0, 255},   // yellow
+	color.RGBA{127, 127, 127, 255}, // gray
+	color.RGBA{192, 192, 192, 255}, // silver
+	color.RGBA{255, 255, 255, 255}, // white
+}
+
+func permuteColor(c color.Color, i uint8) color.Color {
+	r, g, b, a := c.RGBA()
+	return color.RGBA{
+		uint8(r>>8) + i,
+		uint8(g>>8) + i,
+		uint8(b>>8) + i,
+		uint8(a >> 8),
+	}
+}
+
+// naivePalette smashes each pixel to its closest color in the pallette.
+func naivePalette(p color.Palette) quantizerFunction {
+	return func(_, _ int, c color.Color) color.Color {
+		return p[p.Index(c)]
+	}
+}
+
+// randomNoisePalette injects random noise into the quantization step
+func randomNoisePalette(p color.Palette) quantizerFunction {
+	return func(_, _ int, c color.Color) color.Color {
+		// the randomization here is tuned for the sixteen-color palette for now.
+		// I think the proper theory here is probably "only try and randomize within one palette swatch in either direction".
+		// it might be possible to instead permute the color selected _from the palette_ (i.e. modify the result of p.Index(c))...
+		// ...but I think for that to work you'd need a proper "ordering" for the colors.
+		noise := rand.Intn(64) - 32
+		if noise < 0 {
+			noise = 0
+		}
+		rc := permuteColor(c, uint8(noise))
+		return p[p.Index(rc)]
+	}
+}
+
+// color permutation algo: https://en.wikipedia.org/wiki/Ordered_dithering#Algorithm
+func colorBayer(level int, p color.Palette) quantizerFunction {
+	b := newBayer(level)
+	r := len(p)
+	return func(x, y int, c color.Color) color.Color {
+		v := float64(r) * (b.valueAt(x, y) - 0.5)
+		rc := permuteColor(c, uint8(v))
+		return p[p.Index(rc)]
+	}
+}
diff --git a/example/cricket.jpg b/example/cricket.jpg
new file mode 100644
index 0000000..baa49ed
Binary files /dev/null and b/example/cricket.jpg differ
diff --git a/main.go b/main.go
index 8130549..7d676d6 100644
--- a/main.go
+++ b/main.go
@@ -3,6 +3,7 @@ package main
 import (
 	"fmt"
 	"image"
+	"image/color"
 	_ "image/jpeg"
 	"image/png"
 	"math/rand"
@@ -10,6 +11,27 @@ import (
 	"time"
 )
 
+type coord struct {
+	x, y int
+}
+
+// provided x, y, and color at location, return a color
+type quantizerFunction func(int, int, color.Color) color.Color
+
+// apply sequentially applies a quantizing function to an image and returns the result
+func apply(i image.Image, f quantizerFunction) image.Image {
+	out := image.NewRGBA(image.Rect(0, 0, i.Bounds().Max.X, i.Bounds().Max.Y))
+
+	b := out.Bounds()
+	for y := b.Min.Y; y < b.Max.Y; y++ {
+		for x := b.Min.X; x < b.Max.X; x++ {
+			out.Set(x, y, f(x, y, i.At(x, y)))
+		}
+	}
+
+	return out
+}
+
 func main() {
 	if len(os.Args) == 1 || len(os.Args) > 4 || os.Args[1] == "help" {
 		fmt.Printf(`usage: %s <path/to/image.ext> <dither_option> <path/to/output.png>
@@ -38,17 +60,26 @@ func main() {
 		new = apply(i, noOp)
 	case "naive":
 		new = apply(i, naiveBW)
+	case "palette":
+		new = apply(i, naivePalette(sixteencolors))
 	case "randomnoise":
 		rand.Seed(time.Now().UnixNano())
 		new = apply(i, randomNoise)
+	case "noisepalette":
+		rand.Seed(time.Now().UnixNano())
+		new = apply(i, randomNoisePalette(sixteencolors))
 	case "bayer0":
 		new = apply(i, bayerDithering(0, false))
+	case "bayer0p":
+		new = apply(i, colorBayer(0, sixteencolors))
 	case "bayer0n":
 		new = apply(i, bayerDithering(0, true))
 	case "bayer1":
 		new = apply(i, bayerDithering(1, false))
 	case "bayer1n":
 		new = apply(i, bayerDithering(1, true))
+	case "bayer1p":
+		new = apply(i, colorBayer(1, sixteencolors))
 	case "simpleerror":
 		new = apply(i, simpleErrorDiffusion())
 	case "floydsteinberg":
diff --git a/quantizer.go b/quantizer.go
index 248b999..9ab3236 100644
--- a/quantizer.go
+++ b/quantizer.go
@@ -1,28 +1,10 @@
 package main
 
 import (
-	"image"
 	"image/color"
 	"math/rand"
 )
 
-// provided x, y, and color at location, return a color
-type quantizerFunction func(int, int, color.Color) color.Color
-
-// apply sequentially applies a quantizing function to an image and returns the result
-func apply(i image.Image, f quantizerFunction) image.Image {
-	out := image.NewRGBA(image.Rect(0, 0, i.Bounds().Max.X, i.Bounds().Max.Y))
-
-	b := out.Bounds()
-	for y := b.Min.Y; y < b.Max.Y; y++ {
-		for x := b.Min.X; x < b.Max.X; x++ {
-			out.Set(x, y, f(x, y, i.At(x, y)))
-		}
-	}
-
-	return out
-}
-
 // noOp just clones colors from one image to another, to validate file handling.
 func noOp(_, _ int, c color.Color) color.Color {
 	return c
@@ -57,10 +39,6 @@ type bayer struct {
 	matrix map[coord]float64
 }
 
-type coord struct {
-	x, y int
-}
-
 func (b *bayer) valueAt(x, y int) float64 {
 	return b.matrix[coord{x: x % b.side, y: y % b.side}]
 }