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Bit-wise arithmetic coding for data compression

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1 Author(s)
Kiely, A.B. ; Jet Propulsion Lab., Pasadena, CA, USA

Consider the problem of compressing a uniformly quantized IID source. A traditional approach is to assign variable length codewords to the quantizer output symbols or groups of symbols (e.g., Huffman coding). We propose an alternative solution: assign a fixed length binary codeword to each output symbol in such a way that a zero is more likely than a one in every codeword bit position. This redundancy is then exploited using a block-adaptive binary arithmetic encoder to compress the data. This technique is simple, has low overhead, and can be used as a progressive transmission system

Published in:

Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on

Date of Conference:

17-22 Sep 1995