Image inpainting method based on structure tensor

doi:10.3724/SP.J.1087.2011.02711

Journal of Computer Applications ›› 2011, Vol. 31 ›› Issue (10): 2711-2713.DOI: 10.3724/SP.J.1087.2011.02711

• Graphics and image technology • Previous Articles Next Articles

Image inpainting method based on structure tensor

LIU Kui^1,2, SU Ben-yue², ZHAO Xiao-jing²

1.School of Computer and Information, Hefei University of Technology, Hefei Anhui 230009, China
2.School of Computer and Information, Anqing Teachers College, Anqing Anhui 246011, China

Received:2011-05-03 Revised:2011-06-07 Online:2011-10-11 Published:2011-10-01

基于结构张量的图像修复方法

刘奎^1,2,苏本跃²,赵晓静²

1.合肥工业大学计算机与信息学院, 合肥 230009
2.安庆师范学院计算机与信息学院,安徽安庆 246011

通讯作者: 刘奎
作者简介:刘奎(1975-),男,安徽安庆人,讲师,博士研究生,主要研究方向:知识工程、数字图像处理;苏本跃(1971-),男,安徽芜湖人,教授,博士,CCF高级会员,主要研究方向:数字图像处理、视觉计算;赵晓静(1978-),女,安徽安庆人,讲师,硕士,主要研究方向:数字图像处理。
基金资助:
教育部博士点基金资助项目(20070359014);安徽省高校优秀青年教师资助计划项目(2007jql121)

Abstract

Abstract: Because the traditional anisotropic diffusion equation for image restoration only considers the gradient size, and produces false edges in color image inpainting, this paper proposed an image inpainting method based on structure tensor. Structure tensor was used as diffusion coefficient which can implement different diffusion processes in different regions. The experimental results show that the new method, in comparison with Total Variation (TV) and BSCB methods, improves the image inpainting results, and effectively inpaints color images.

Key words: image inpainting, structure tensor, partial differential equation, anisotropic diffusion

摘要： 针对传统各向异性扩散方程在修复图像时仅考虑梯度模的大小,且在修复彩色图像时易产生虚假边缘等缺陷,提出基于结构张量的图像修复方法。将结构张量作为各向异性扩散方程的扩散系数,实现在不同区域有不同的扩散方式。实验结果显示:该方法与整体变分(TV)和BSCB方法相比,提高了图像修复效果,有效地完成对于彩色图像的修复。

关键词: 图像修复, 结构张量, 偏微分方程, 各向异性扩散

CLC Number:

LIU Kui SU Ben-yue ZHAO Xiao-jing. Image inpainting method based on structure tensor[J]. Journal of Computer Applications, 2011, 31(10): 2711-2713.

刘奎苏本跃赵晓静. 基于结构张量的图像修复方法[J]. 计算机应用, 2011, 31(10): 2711-2713.

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Image inpainting method based on structure tensor

基于结构张量的图像修复方法

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