Research on quality assessment model for data compression of stereo mapping satellite imagery

Shizhong Li; Zhe Chen; Xuemai Gu; Fei Zhao; Xiaofeng Liu; Peng Jia

doi:10.1117/12.831984

30 October 2009 Research on quality assessment model for data compression of stereo mapping satellite imagery

Shizhong Li, Zhe Chen, Xuemai Gu, Fei Zhao, Xiaofeng Liu, Peng Jia

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980J (2009) https://doi.org/10.1117/12.831984
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Shizhong Li, Zhe Chen, Xuemai Gu, Fei Zhao, Xiaofeng Liu, and Peng Jia "Research on quality assessment model for data compression of stereo mapping satellite imagery", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980J (30 October 2009); https://doi.org/10.1117/12.831984

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