Adaptive Nonlocal Patch Regularization for Image Restoration
Zhengrong Zhang · Dianzi xuebao · 2012
Nonlocal means exploits the spatial correlation in an image,and preserves the structure information effectively.Combining the nonlocal patch regularization with TV regularization,we propose a nonlocal patch regularized image restoration model.The improved structure tensor matrix can be used to achieve a data-adaptive weigh function,which can then adjust the similarity match process based on the local structure of a pixel.A more simple and effective algorithm-Split Bregman,is used to solve the model iteratively.Compared with other regularization models,our method performs better in improving the quality of restoration image and the efficiency of the algorithm.