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基于曲率项的彩色图像非盲去模糊模型

吴楠 王国栋 张宏

青岛大学学报(自然科学版)2018,Vol.31Issue(2):75-80,85,7.
青岛大学学报(自然科学版)2018,Vol.31Issue(2):75-80,85,7.DOI:10.3969/j.issn.1006-1037.2018.05.14

基于曲率项的彩色图像非盲去模糊模型

Color Image Non-blind Deblurring Model Based on Curvature Terms

吴楠 1王国栋 1张宏1

作者信息

  • 1. 青岛大学计算机科学技术学院,青岛266071
  • 折叠

摘要

Abstract

For the problem of color image non-blind deblurring,a novel method based on the Total Curvature is proposed.In order to make full use of the curvature to improve the restoration quality,the proposed method extended the traditional total variation to a total curvature and process the Color image by extending the single channel to the multi-channel.In order to accelerate the speed of calculation,the Split Bregman method is introduced.Multiple experiments verify the validity of the proposed method,and the proposed method is superior to traditional algorithms in both visual and objective evaluation.

关键词

图像处理/彩色图像去模糊/曲率项/正则化

Key words

image processing/color image deblurring/curvature term/regularization

分类

信息技术与安全科学

引用本文复制引用

吴楠,王国栋,张宏..基于曲率项的彩色图像非盲去模糊模型[J].青岛大学学报(自然科学版),2018,31(2):75-80,85,7.

基金项目

国家科技支撑计划子课题(批准号:2014BAG03B05)资助. (批准号:2014BAG03B05)

青岛大学学报(自然科学版)

1006-1037

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