Image Restoration Based on Fuzzy Nonlinear Regression Algorithm

LIU Shu-jun, ZHANG Xin-zheng, LIU Ying

Packaging Engineering ›› 2013 ›› Issue (5) : 95-97.

Packaging Engineering ›› 2013 ›› Issue (5) : 95-97.

Image Restoration Based on Fuzzy Nonlinear Regression Algorithm

  • LIU Shu-jun, ZHANG Xin-zheng, LIU Ying
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Abstract

In order to restore image by using the multiframe degraded images of the similar degraded characters, a novel fuzzy parameter nonlinear regression algorithm for blind restoration was presented. The advantage of the similar degraded characters of multiframe images was fully taken. Firstly, the fuzzy value of illumination parameters was estimated through fuzzy nonlinear regression method. Then the nonideal distribution of illumination image was estimated by the parameter gained before. Finally, the degraded image was restored by the contraction between the observed image and the nonideal distribution of illumination image. Results of experiments demonstrated that this method works efficiently; it has better ability in restoring both smooth area and edge-contained area. Compared with others, this method in the repair effect is superior to the general image restoration algorithm.

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LIU Shu-jun, ZHANG Xin-zheng, LIU Ying. Image Restoration Based on Fuzzy Nonlinear Regression Algorithm[J]. Packaging Engineering. 2013(5): 95-97

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