Conference Paper

J. E. Fowler and S. C. Ahalt, "Robust, Variable Bit-rate Coding Using Entropy-biased Codebooks," in Proceedings of the IEEE Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1993, pp. 361-370.

• Abstract:
  We demonstrate the use of a Differential Vector Quantization (DVQ) architecture for the coding of digital images. An Artificial Neural Network (ANN) is used to develop entropy-biased codebooks which yield substantial data compression without entropy coding and are very robust with respect to transmission channel errors. We discuss how these codebooks can be used to realize variable bit-rate coders. Two methods are presented for variable bit-rate coding using the described DVQ algorithm. In the first method, both the encoder and the decoder have multiple codebooks of different sizes. In the second, variable bit-rates are achieved by using subsets of one fixed codebook. We compare the performance of these approaches under conditions of error-free and error-prone channels. Our results show that this coding technique is very resistant to channel errors, and yields pictures of excellent visual quality at moderate compression rate.

• Text:

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