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After the data has been quantized into a finite set of
values, it can be encoded using an Entropy Coder to give
additional compression. By entropy, we mean the amount of
information present in the data, and an entropy coder
encodes the given set of symbols with the minimum number
of bits required to represent them.
Two of the most popular entropy coding schemes are
Huffman coding and Arithmetic coding.
A good introduction to Huffman coding can be found
A good introduction to Arithmetic coding can be found
Copyright (c) Satish Kumar. S 2001-2003. Last Modified - 22 Oct 2001
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