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Image Coding by Adaptive Block Quantization

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2 Author(s)
M. Tasto ; Bell Telephone Labs., N.J. ; P. Wintz

A new source encoder called the adaptive block quantizer is proposed for coding data sources that emit a sequence of correlated real numbers with known first- and second-order statistics, Blocks of source output symbols are first classified and then block quantized in a manner that depends on their classification. The system is optimized relative to both the mean square error and the subjective quality of the reconstructed data for a certain class of pictorial data, and the resulting system performance demonstrated. Some interesting relationships between mean square error and subjective picture quality are presented.

Published in:

IEEE Transactions on Communication Technology  (Volume:19 ,  Issue: 6 )