Interferential multi-spectral image compression based on distributed source coding

Xian-yun Wu; Yun-song Li; Cheng-ke Wu; Fan-qiang Kong

doi:10.1117/12.793507

5 September 2008 Inferential multi-spectral image compression based on distributed source coding

Xian-yun Wu, Yun-song Li, Cheng-ke Wu, Fan-qiang Kong

Proceedings Volume 7084, Satellite Data Compression, Communication, and Processing IV; 70840R (2008) https://doi.org/10.1117/12.793507
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Xian-yun Wu, Yun-song Li, Cheng-ke Wu, and Fan-qiang Kong "Inferential multi-spectral image compression based on distributed source coding", Proc. SPIE 7084, Satellite Data Compression, Communication, and Processing IV, 70840R (5 September 2008); https://doi.org/10.1117/12.793507

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