DocumentCode
2629153
Title
A Near Lossless Wavelet-Based Compression Scheme for Satellite Images
Author
Chen, Chien-Wen ; Lin, Tsung-Ching ; Chen, Shi-Huang ; Truong, Trieu-Kien
Author_Institution
Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
Volume
6
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
528
Lastpage
532
Abstract
In this paper, a near lossless image compression algorithm is presented for high quality satellite image compression. The proposed algorithm makes use of the recommendation for image data compression from the Consultative Committee for Space Data Systems (CCSDS) and specific residue image bit-plane compensation. Comparing with the recommendation for satellite image compression from CCSDS, the proposed algorithm can reconstruct near lossless images with less bit rate than the recommendation of CCSDS does. Benefited from run-length coding and specific residue image bit-plane compensation, the proposed algorithm can obtain higher quality satellite image at similar bit rate or lower bit rate at the similar image quality. These results are valuable for reducing transmission time of high quality satellite image data. This work can be further improved by combining other binary compression techniques and the extension of this work may offer a VLSI or a DSP implementation of the proposed algorithm. Satellite image transmission and storage system can benefit by the proposed algorithm.
Keywords
data compression; image coding; runlength codes; wavelet transforms; Consultative Committee for Space Data Systems; DSP; VLSI; image data compression; lossless image compression; lossless wavelet-based compression; residue image bit-plane compensation; run-length coding; satellite images; Bit rate; Data compression; Data systems; Digital signal processing; Image coding; Image quality; Image reconstruction; Image storage; Satellites; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.933
Filename
5170755
Link To Document