基于非局部全变差模型的图像复原方法

J4 ›› 2015, Vol. 32 ›› Issue (3): 278-282.

基于非局部全变差模型的图像复原方法

张锦华侯燕杨俊

1.周口师范学院计算机科学与技术学院，周口 466001； 2.中山大学信息科学与技术学院，广州 510006

收稿日期:2014-10-27 修回日期:2015-01-28 出版日期:2015-05-28 发布日期:2015-05-28
通讯作者: 张锦华（1979-），女，汉族，河南省周口人，硕士，讲师，主要研究：图像处理、三维建模等。

Image Restoration based on Nonlocal Total Variation

Zhang Jin-hua，Hou Yan,Yang Jun

1 College of Computer Science and Technology, ZhouKou Normal University,ZhouKou 466001, China;
2. School of Information Science and Technology，Sun Yat-sen University，Guangzhou 510006，China

Received:2014-10-27 Revised:2015-01-28 Published:2015-05-28 Online:2015-05-28

摘要/Abstract

摘要：

面向图像复原问题，本文提出一种非局部的全变差图像复原方法。该方法将传统的全变差模型拓展为非局部变差模型，充分利用非局部子块对结构的保持作用，进一步提高复原图像的质量。此外，为了解决上述的非局部全变差模型，本文引入算子运算简化目标函数, 再利用迭代的Splitting算法对其进行交替求解，提高收敛精度。实验结果表明，本文算法在视觉效果和客观评价指标两方面均优于传统算法。

关键词: 图像处理, 图像复原, 非局部全变差, 正则化

Abstract:

In this paper, we proposed a novel nonlocal total variation method for image restoration. The proposed method extended the conventional total variation to a novel nonlocal model and made full use of the structure protection within the nonlocal patches to further improve the restoration quality. In addition, to solve the proposed nonlocal total variation model, we introduced the operator to compact the objective function, and then solved it alternatively with Splitting technique to obtain high accuracy. The experiment results shows that our proposed method outperform the conventional methods on both of the evaluation and visualization.

Key words: Image processing, Image restoration, Nonlocal total variation, Regularization

中图分类号:

TP391.9

张锦华侯燕杨俊. 基于非局部全变差模型的图像复原方法[J]. J4, 2015, 32(3): 278-282.

Zhang Jin-hua，Hou Yan,Yang Jun. Image Restoration based on Nonlocal Total Variation[J]. J4, 2015, 32(3): 278-282.

参考文献

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