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Low-Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding
2013
Mathematical Problems in Engineering
A low-complexity compression algorithm for hyperspectral images based on distributed source coding (DSC) is proposed in this paper. The proposed distributed compression algorithm can realize both lossless and lossy compression, which is implemented by performing scalar quantization strategy on the original hyperspectral images followed by distributed lossless compression. Multilinear regression model is introduced for distributed lossless compression in order to improve the quality of side
doi:10.1155/2013/825673
fatcat:bahoetr6kbdjlcoyxm3ro7uclu