R is a cool image editor #2: Dithering algorithms

August 29, 2011

(This article was first published on Statistic on aiR, and kindly contributed to R-bloggers)

Here I implemented in R some dithering algorithms:

Floyd-Steinberg dithering

Bill Atkinson dithering

Jarvis-Judice-Ninke dithering

Sierra 2-4a dithering

Stucki dithering

Burkes dithering

Sierra2 dithering

Sierra3 dithering

For each algorithm, I wrote a 2-dimensional convolution function (a matrix passing over a matrix); it is slow because I didn’t implemented any fasting tricks. It can be easily implemented in C, then used in R for a faster solution.

Then, a function to transform a grey image in a grey-dithered image is provided, with an example. The library rimage was used for loading and displaying images (see the other post R is a cool image editor).

These function can be easily re-coded for a RGB image.

Only the first code is commented, ’cause they’re all very similar.

y <- read.jpeg("valve.jpg")

Floyd-Steinberg dithering


Bill Atkinson dithering


Jarvis-Judice-Ninke dithering


Sierra 2-4a dithering filter


Stucki dithering


Burkes dithering


Sierra2 dithering


Sierra3 dithering


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