Image Restoration Algorithm of Smoothness Constraints Constructed by Adaptive Fuzzy Edge Evaluation Function

Image restoration is an important research field of image processing. The purpose of image restoration is to improve the observed visual effect of image to make it close to the original image. This paper proposes an image restoration algorithm of smoothness constraints constructed by adaptive fuzzy edge evaluation function. First, image degradation/restoration model is introduced, based on the degradation function to solve the ill-posed problem of image restoration. Then, with the process of iteration, more image details can be detected, while the algorithm adaptively produces a more reasonable smoothness constraints. This algorithm can base on restricted adaptive image restoration algorithm, by increasing the sophistication of weight to improve the recovery of adaptive control capabilities. Finally, an experiment can be conducted to prove the effectiveness and feasibility of the image restoration algorithm proposed in this paper.