ROI image compression algorithm for reconnaissance satellite systems

Xin Tian; Chun-Ming Wang; Yi-Hua Tan; Jin-Wen Tian

doi:10.1117/12.832925

30 October 2009 ROI image compression algorithm for reconnaissance satellite systems

Xin Tian, Chun-Ming Wang, Yi-Hua Tan, Jin-Wen Tian

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982C (2009) https://doi.org/10.1117/12.832925
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Xin Tian, Chun-Ming Wang, Yi-Hua Tan, and Jin-Wen Tian "ROI image compression algorithm for reconnaissance satellite systems", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982C (30 October 2009); https://doi.org/10.1117/12.832925

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