Adaptive Nonlocal Patch Regularization for Image Restoration

LIU Hong-yi; WEI Zhi-hui; ZHANG Zheng-rong

doi:10.3969/j.issn.0372-2112.2012.03.017

您当前的位置：

首页 >

文章列表页 >

Adaptive Nonlocal Patch Regularization for Image Restoration

更新时间：2025-07-16

- Adaptive Nonlocal Patch Regularization for Image Restoration
- Acta Electronica Sinica Vol. 40, Issue 3, Pages: 512-517(2012)
- 作者机构：
  
  1. 南京理工大学理学院,江苏,南京,210094
  2. 南京理工大学计算机科学与技术学院,江苏,南京,210094
  3. 南京理工大学理学院江苏南京,210094
  4. 南京理工大学计算机科学与技术学院江苏南京,210094
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.03.017
  CLC： TP391
- Published：2012
- 稿件说明：
移动端阅览
LIU Hong-yi, WEI Zhi-hui, ZHANG Zheng-rong. Adaptive Nonlocal Patch Regularization for Image Restoration[J]. Acta Electronica Sinica, 2012, 40(3): 512-517.
DOI：

LIU Hong-yi, WEI Zhi-hui, ZHANG Zheng-rong. Adaptive Nonlocal Patch Regularization for Image Restoration[J]. Acta Electronica Sinica, 2012, 40(3): 512-517. DOI： 10.3969/j.issn.0372-2112.2012.03.017.

摘要

非局部均值利用图像自相似性

有效保持了图像的几何结构信息.提出了非局部patch正则和TV正则结合的图像恢复模型

利用改进的结构张量矩阵构造自适应非局部权函数

根据像素的局部结构计算图像中patch的相似性

提高了图像结构信息的保持性能.在数值解法上

采用分裂Bregman算法迭代求解模型

得到简单快速的迭代形式.数值实验证明所提出方法在提高恢复图像质量和算法效率上都有显著改进.

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

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The Application of Improved Iterative Algorithm to Regularization Model of Image Restoration

Research on Multi-Granularity Neural Network Pruning Method with Regularization Mechanism

Deep Prior-Based Blind Image Deblurring

Dual Attention-Guided Detail and Structure Information Fusion Network for Image Dehazing

Method on Abdominal Electrode-Sourced FECG Extraction Utilizing the Improved LightGBM with Signal-to-Noise Ratio Regularization

Related Author

LI Xu-chao

SONG Bo

GAN Liang-zhi

LIU Qi

CHEN Ying

BAI Yong-qiang

YU Jing

LI Yi-nong

Related Institution

College of Electrical Engineering and Automation Xuzhou Jiangsu China

College of Computer and Information Engineering Chifeng University Chifeng Inner Mongolia China

College of Electrical Engineering and Automation

College of Computer and Information Engineering, Chifeng University

The Key Laboratory of Advanced Process Control for Light Industry （Ministry of Education）， Jiangnan University

⁰