Reversible image compression via multiresolution representation and predictive coding

Amir Said; William A. Pearlman

doi:10.1117/12.157984

22 October 1993 Reversible image compression via multiresolution representation and predictive coding

Amir Said, William A. Pearlman

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157984
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

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.

Citation Download Citation

Amir Said and William A. Pearlman "Reversible image compression via multiresolution representation and predictive coding", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157984

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