新型遥感立体图像编码质量评价方法

Abstract

Abstract:

The method for coding quality assessment of the remotely sensed imagery plays an important role in studying the compression algorithm of the remotely sensed imagery. A new coding quality assessment objective method for the stereo remotely sensed imagery, which is based on the characteristics of the images and the practical application in the stereo mapping, is presented in this paper. The mathematical model of coding quality objective assessment of the stereo image is established by taking full account of the stereo image distortion caused by the four main factors: the radiometric character distortion, texture distortion, loss of correlation and geometrical character distortion. Experimental results show that this method is superior to the common methods such as MSE(Mean Square Error) and PSNR(Peak Signal to Noise Ratio). By using this method, a satisfactory result has been obtained, which is consistent with that from the human visual perception. And the method has strong correlation with the subjective method MOS(Mean Opinion Score).

Key words: stereo image, image coding, quality assessment, radiometric character, geometrical character, texture, correlation

CLC Number:

TP79

LI Shi-zhong;HU Xin;GU Xue-mai;Lü Yuan;WANG Yu. New method for coding quality assessment of the stereo remotely sensed imagery[J].J4, 2009, 36(5): 927-932.

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New method for coding quality assessment of the stereo remotely sensed imagery

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