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Proceedings Paper

Interferential multi-spectral image compression based on distributed source coding
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Paper Abstract

Based on the analyses of the interferential multispectral imagery(IMI), a new compression algorithm based on distributed source coding is proposed. There are apparent push motions between the IMI sequences, the relative shift between two images is detected by the block match algorithm at the encoder. Our algorithm estimates the rate of each bitplane with the estimated side information frame. then our algorithm adopts a ROI coding algorithm, in which the rate-distortion lifting procedure is carried out in rate allocation stage. Using our algorithm, the FBC can be removed from the traditional scheme. The compression algorithm developed in the paper can obtain up to 3dB's gain comparing with JPEG2000 and significantly reduce the complexity and storage consumption comparing with 3D-SPIHT at the cost of slight degrade in PSNR.

Paper Details

Date Published: 5 September 2008
PDF: 9 pages
Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840R (5 September 2008); doi: 10.1117/12.793507
Show Author Affiliations
Xian-yun Wu, Xidian Univ. (China)
Yun-song Li, Xidian Univ. (China)
Cheng-ke Wu, Xidian Univ. (China)
Fan-qiang Kong, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 7084:
Satellite Data Compression, Communication, and Processing IV
Bormin Huang; Roger W. Heymann; Joan Serra-Sagristà, Editor(s)

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