摘要

In this paper, space variant point spread SV-PSF) modeling is proposed, and image restoration method for the COV is studied. Firstly, a radial edge detection based SV-PSF modeling method is proposed, rest on the analysis of the blur regions' distribution pattern in the COV image. Then, an image restoration method based on projection onto the convex sets(POCS) is studied; in view of the POCS is such a iterative solution that can be easily joined in the prior information (such as the space variant blur). The proposed method models global SV-PSF for the COV at limited regions where radial edges locate, avoiding the huge amount of calculation of edge detection and image segmentation. The POCS based restoration method is adopted so that the prior method SV-PSF is utilized well. Experiment results indicate that our method is flexible and efficient by comparing with the result processed by the MATLAB image restoration toolbox.

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