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Huffman Encoding

Huffman Encoding is a method of compression which (for bitmaps) works by counting the number of occurrences of each pixel color.

Each color is then represented by a code, those colors which occur more frequently are represented by shorter codes, and those which occur less frequently are represented by longer codes. As shorter codes generally predominate, the amount of storage required to hold the bitmap is thus reduced.

How much compression can be achieved by Huffman Encoding varies depending on the exact algorithm used, and depending on the content of an image. A reduction to about one eighth of the original size is typical for many images.

The main disadvantage of Huffman Encoding is that it can be relatively slow to compress images into this format, and to decompress them back.

An additional disadvantage of Huffman Encoding is it is very sensitive to data-loss through (for example) transmission errors. If even a single bit of data is dropped or added during transmission (for example, over the Internet), the rest of the image will display incorrectly.



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