bitcrush

Color quantization experiment, version 4

Build

git clone https://github.com/sapphirecat/bitcrush
cd bitcrush
go build

Tested on go1.18beta1 linux/amd64, although there are no 1.18 features in use.

Run

./bitcrush -in image.jpg -out image-332.png -space rgb332
./bitcrush -in image.jpg -out image-y4.png -space y4 -sd

Options:

  • -in Input file, default img.png
  • -out Output file, default output.png
  • -flat Do not dither images
  • -space Color space description (see below)
  • -sd For Y* color spaces, use BT.470 luma weights, not BT.703 (or FCC NTSC)

Color space descriptions

Color space descriptions are made up of an identifier for the color space,
followed by the bit depths to reduce each channel to. Each color space may
optionally process alpha by appending “A” and including a bit depth for the
alpha channel. “_” for a bit depth means to skip quantization for the channel
entirely; it will remain 8-bit. “0” is not a valid bit depth.

Supported color spaces:

  1. Y: black-and-white only, similar to desaturating by “luma” in a popular
    open-source image editor
  2. RGB: Red/Green/Blue, the additive color primaries
  3. HSV: Hue/Saturation/Value, where value expresses black to color
  4. HSL: Hue/Saturation/Lightness, where lightness expresses black to color
    (at the midpoint) to white
  5. YUV: PAL/SECAM TV, with UV representing blue-yellow and red-green
    differences
  6. YIQ: NTSC (North America) TV, with IQ representing blue-orange and
    green-magenta differences

Thus, Y4 means 16 levels of gray (2 raised to the 4th power.) This is
identical to YA4_, which leaves the alpha channel unchanged. In contrast,
YA41 produces two levels of alpha (fully transparent and fully opaque.)

Previously…

  • blit-crusher in F#
  • Python3/Pillow and Python2/PIL variants

License

MIT.

GitHub

View Github