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Proceedings Paper

ROI image compression algorithm for reconnaissance satellite systems
Author(s): Xin Tian; Chun-Ming Wang; Yi-Hua Tan; Jin-Wen Tian
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Paper Abstract

The visual effect is an important fact in the coding algorithm. So the saliency of visual attention(SVA) can be used to determine the region of interest(ROI) in the ROI image coding. A novel SVA based ROI(SVA-ROI) image coding scheme is presented for the reconnaissance satellite systems. As the SVA of the original image and reconstructed image are usually the same, the same ROI can be automatically determined in the encoder and decoder with the SVA. Then the ROI side information is no need to be transmitted and the compression efficiency can be improved. Experimental results have demonstrated that SVA-ROI has better visual effect than the similar algorithms, which will be suitable for the reconnaissance satellite systems.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982C (30 October 2009); doi: 10.1117/12.832925
Show Author Affiliations
Xin Tian, Huazhong Univ. of Science and Technology (China)
Chun-Ming Wang, Huazhong Univ. of Science and Technology (China)
Yi-Hua Tan, Huazhong Univ. of Science and Technology (China)
Jin-Wen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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