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Image coding with an L norm and confidence interval criteria

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3 Author(s)
L. Karray ; Dept. of Res. in Speech Commun., CNET, Lannion, France ; P. Duhamel ; O. Rioul

A new image coding technique based on an L-norm criterion and exploiting statistical properties of the reconstruction error is investigated. The original image is preprocessed, quantized, encoded, and reconstructed within a given confidence interval. Two important classes of preprocessing, namely linear prediction and iterated filterbanks, are used. The approach is also shown to be compatible with previous techniques. The approach allows a great flexibility in that it can perform lossless coding as well as a controlled lossy one: specifications are typically that only p% the reconstructed pixels are different from the original ones

Published in:

IEEE Transactions on Image Processing  (Volume:7 ,  Issue: 5 )