An implementation of ordered dithering algorithm in python as multimedia course project

Overview

Ordered Dithering

One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel. by default this number is 24 bits for RGB representation. You can reduce this number by quantization and reduce it to 1 bit (black or white).

However this has its downside which is known as banding effect (Wikipedia). Ordered dithering is a technique in which we try to minimize this effect by distributing errors (Wikipedia). There are also some other techniques like floyd-steinberg algorithm which works better but is slower than ordered dithering.

As an example consider the following image: Original image

Now this is the gray scale version with size of 2.2M: Gray scale

But we can reduce the size to 204k with ordered dithering: Dithered image

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