Spatial Defocusing Fuzzy Restoration Algorithm Based on Strong Edge
Aiming at the spatial defocus blur in the image,an algorithm based on strong edge is proposed to estimate the blur amount of the whole image.First,in the traditional spatial defocus blur restoration algorithm,the edge fea-tures are classified,and the edges that meet the restoration requirements are selected to estimate the blur parameters using the knifeedge method.Then,the fuzzy parameters of the edges that do not meet the restoration requirements are calculated by the mean value in the connected domain,and the fuzzy mapping map of the whole image is gener-ated.Finally,the defocus blurred image is restored based on Wiener filtering restoration model.The experimental re-sults show that the proposed algorithm can obtain better restoration effect in the blurred area with complex informa-tion,and the information entropy and gradient amplitude are closer to the clear image.
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