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Proceedings Paper

Research on quality assessment model for data compression of stereo mapping satellite imagery
Author(s): Shizhong Li; Zhe Chen; Xuemai Gu; Fei Zhao; Xiaofeng Liu; Peng Jia
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Paper Abstract

Peak signal-to-noise ratio (PSNR) is commonly used as an objective metric in evaluating image quality. However, PSNR can not reflect the visual perception distortion, especially for the stereo image in mapping. Meanwhile, the subjective evaluation methods have great uncertainty. So, how to make correct, effective and repeatable evaluation for the stereo mapping imagery is still a problem to be resolved. From the aspect of practical mapping application for the stereo surveying and mapping satellite imagery, a multidimensional model for evaluating the stereo imagery compression quality is presented in this paper. A new quality assessment index is proposed for decompressed image based on the model, and by using it, the quality of imagery compressed /decompressed by JPEG and JPEG 2000 algorithm is evaluated. Experiment results show that using this method can get better consistency with the result from the human visual perception, and has high correlation with the method of mean opinion score(MOS), superior to the method of using PSNR.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980J (30 October 2009); doi: 10.1117/12.831984
Show Author Affiliations
Shizhong Li, Harbin Institute of Technology (China)
Zhe Chen, Chang'an Univ. (China)
Xuemai Gu, Harbin Institute of Technology (China)
Fei Zhao, Beijing Institute of Tracking and Telecommunication Technology (China)
Xiaofeng Liu, Harbin Institute of Technology (China)
Peng Jia, Beijing Institute of Tracking and Telecommunication 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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