L/sup ∞/-coding of images: a confidence interval criterion
Lamia Karray, Olivier Rioul, Pierre Duhamel · 2002
A new image coding technique using statistical properties of quantization errors and L/sup /spl infin//-norm criterion is investigated. The original image is preprocessed, quantized, encoded and reconstructed within a given confidence interval. We focus on iterated filter banks as a preprocessing technique, and provide a comparison with linear prediction in the case of very good quality (almost lossless) image coding.>