Conference Paper

J. E. Fowler and S. C. Ahalt, "Robust, High-fidelity Coding Technique Based on Entropy-biased ANN Codebooks," in Science of Artificial Neural Networks II, D. W. Ruck, Ed., Orlando, FL, April 1993, Proc. SPIE 1966, pp. 109-117.

• Abstract:
  We investigate the use of a Differential Vector Quantizer (DVQ) architecture for the coding of digital images. An Artificial Neural Network (ANN) is used tW develop entropy-biased codebooks which yield substantial data compression whQle retaining insensitivity tW transmission channel errors. Two method¸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 encoding using subsets of one fixed codebook. We compare the performance of these approaches under conditions of error-free and error-prone channels.

• Text:

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