Share Email Print
cover

Proceedings Paper

The compression algorithm of target image based on ROI
Author(s): Lingjia Gu; Shuxu Guo; Wenbo Jing; Chao Zhai; Xinji Lu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 19 September 2007
PDF: 8 pages
Proc. SPIE 6683, Satellite Data Compression, Communications, and Archiving III, 66830M (19 September 2007); doi: 10.1117/12.739620
Show Author Affiliations
Lingjia Gu, Jilin Univ. (China)
Shuxu Guo, Jilin Univ. (China)
Wenbo Jing, Changchun Univ. of Science and Technology (China)
Chao Zhai, Changchun Univ. of Science and Technology (China)
Xinji Lu, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 6683:
Satellite Data Compression, Communications, and Archiving III
Roger W. Heymann; Bormin Huang; Irina Gladkova, Editor(s)

© SPIE. Terms of Use
Back to Top