电子学报2012，Vol.40Issue(3)：512-517,6.DOI:10.3969/j.issn.0372-2112.2012.03.017
自适应非局部patch正则化图像恢复
Adaptive Nonlocal Patch Regularization for Image Restoration
摘要
Abstract
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.关键词
图像恢复/非局部/正则化/分裂Bregman迭代Key words
image restoration/ nonlocal means/ regularization/ split Bregman分类
信息技术与安全科学引用本文复制引用
刘红毅,韦志辉,张峥嵘..自适应非局部patch正则化图像恢复[J].电子学报,2012,40(3):512-517,6.基金项目
国家自然科学基金(No.61171165,No.60802039) （No.61171165,No.60802039）
江苏省自然科学基金(No.BK2010488) （No.BK2010488）
南京理工大学自主科研专项计划(No.2010ZYT070,No.2010ZDJH07) （No.2010ZYT070,No.2010ZDJH07）
