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Proceedings Paper

LFP-SPECK: an improved SPECK compression algorithm of remote sensing image
Author(s): Xubing Zhang; Zequn Guan; Wei Han
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Paper Abstract

SPECK has been found to be competitive in compression of the remote sensing images with abundant texture, while the visual importance of DWT LL sub-band has not been utilized in the SPECK. To improve the compression capability of the SPECK further, this paper presents the LFP-SPECK (Low Frequency Prior SPECK) algorithm. By lifting the bit planes of low frequency sub-band coefficients LFP-SPECK algorithm encodes low frequency sub-band firstly. The double LSP (List of Significant Pixels) lists are adopted here to avoid increasing bits by lifting bit planes. In addition, the optimal single-value linear prediction method is used to decrease the redundancy of the LL sub band. The experimental results with remote sensing and aerial images show that LFP-SPECK algorithm is better than SPECK and the LSPECK (Lifting SEPCK) algorithms.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982W (30 October 2009); doi: 10.1117/12.832895
Show Author Affiliations
Xubing Zhang, Wuhan Univ. of Science and Engineering (China)
Zequn Guan, Wuhan Univ. (China)
Wei Han, 91635 Army (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications

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