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In this paper a new image transformation suited for reversible (lossless) image compression is presented. It uses a simple pyramid multiresolution scheme which is enhanced via predictive coding. The new transformation is similar to the subband decomposition, but it uses only integer operations. The number of bits required to represent the transformed image is kept small through careful scaling and truncations. The lossless coding compression rates are smaller than those obtained with predictive coding of equivalent complexity. It is also shown that the new transform can be effectively used, with the same coding algorithm, for both lossless and lossy compression. When used for lossy compression, its rate-distortion function is comparable to other efficient lossy compression methods.
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Said et al. (Fri,) studied this question.
synapsesocial.com/papers/6a1f3ffdfe2692e41a2aa094 — DOI: https://doi.org/10.1117/12.157984
Amir Said
British University in Egypt
William A. Pearlman
Rensselaer Polytechnic Institute
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Rensselaer Polytechnic Institute
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