Image Compression
  Classifying image data
  Bit Allocation
  Entropy Coding
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Entropy Coding

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 in 

A good introduction to Arithmetic coding can be found in 


Bit allocation Source code

Copyright (c) Satish Kumar. S 2001-2003. Last Modified - 22 Oct 2001
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