The compression algorithm of target image based on ROI

Lingjia Gu; Shuxu Guo; Wenbo Jing; Chao Zhai; Xinji Lu

doi:10.1117/12.739620

19 September 2007 The compression algorithm of target image based on ROI

Lingjia Gu, Shuxu Guo, Wenbo Jing, Chao Zhai, Xinji Lu

Proceedings Volume 6683, Satellite Data Compression, Communications, and Archiving III; 66830M (2007) https://doi.org/10.1117/12.739620
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Image compression based on lossless or nearly lossless region of interest (ROI) means to lossless compress the interesting regions and loss compress the uninteresting regions in an image. The technology both may obtain the high quality image information and maintain the high compression ratio, which solves the contradiction between the image quality and the image compression ratio. Applying ROI, we can compress image with different accuracy in different region, which make the important parts of an image be coded with better quality than rest image. In the test project of the shooting range, a great many target images will be saved, however the tester only is interested in the target region and not interested the background information. According to the situation, a ROI compress method based on target image is proposed in the paper. The experiment results show that the method can greatly reduce the image data storage, meanwhile remain the target information perfectly.

Citation Download Citation

Lingjia Gu, Shuxu Guo, Wenbo Jing, Chao Zhai, and Xinji Lu "The compression algorithm of target image based on ROI", Proc. SPIE 6683, Satellite Data Compression, Communications, and Archiving III, 66830M (19 September 2007); https://doi.org/10.1117/12.739620

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