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2014 Multiband CCD Image Compression for Space Camera with Large Field of View
Jin Li, Fei Xing, Ting Sun, Zheng You
J. Appl. Math. 2014: 1-8 (2014). DOI: 10.1155/2014/374285


Space multiband CCD camera compression encoder requires low-complexity, high-robustness, and high-performance because of its captured images information being very precious and also because it is usually working on the satellite where the resources, such as power, memory, and processing capacity, are limited. However, the traditional compression approaches, such as JPEG2000, 3D transforms, and PCA, have the high-complexity. The Consultative Committee for Space Data Systems-Image Data Compression (CCSDS-IDC) algorithm decreases the average PSNR by 2 dB compared with JPEG2000. In this paper, we proposed a low-complexity compression algorithm based on deep coupling algorithm among posttransform in wavelet domain, compressive sensing, and distributed source coding. In our algorithm, we integrate three low-complexity and high-performance approaches in a deeply coupled manner to remove the spatial redundant, spectral redundant, and bit information redundancy. Experimental results on multiband CCD images show that the proposed algorithm significantly outperforms the traditional approaches.


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Jin Li. Fei Xing. Ting Sun. Zheng You. "Multiband CCD Image Compression for Space Camera with Large Field of View." J. Appl. Math. 2014 1 - 8, 2014.


Published: 2014
First available in Project Euclid: 2 March 2015

Digital Object Identifier: 10.1155/2014/374285

Rights: Copyright © 2014 Hindawi


Vol.2014 • 2014
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