Vector-lifting schemes based on sorting techniques for lossless compression of multispectral images

Amel Benazza-Benyahia; Jean-Christophe Pesquet

doi:10.1117/12.453541

30 January 2003 Vector-lifting schemes based on sorting techniques for lossless compression of multispectral images

Amel Benazza-Benyahia, Jean-Christophe Pesquet

Proceedings Volume 4793, Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications; (2003) https://doi.org/10.1117/12.453541
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

In this paper, we introduce vector-lifting schemes which allow to generate very compact multiresolution representations, suitable for lossless and progressive coding of multispectral images. These new decomposition schemes exploit simultaneously the spatial and the spectral redundancies contained in multispectral images. When the spectral bands have different dynamic ranges, we improve dramatically the performances of the proposed schemes by a reversible histogram modification based on sorting permutations. Simulation tests carried out on real images allow to evaluate the performances of this new compression method. They indicate that the achieved compression ratios are higher than those obtained with currently used lossless coders.

Citation Download Citation

Amel Benazza-Benyahia and Jean-Christophe Pesquet "Vector-lifting schemes based on sorting techniques for lossless compression of multispectral images", Proc. SPIE 4793, Mathematics of Data/Image Coding, Compression, and Encryption V, with Applications, (30 January 2003); https://doi.org/10.1117/12.453541

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