基于结构张量场拟合的图像恢复方法

doi:10.3969/j.issn.1001-2400.2011.06.011

J4 ›› 2011, Vol. 38 ›› Issue (6): 68-74.doi: 10.3969/j.issn.1001-2400.2011.06.011

基于结构张量场拟合的图像恢复方法

王旭东;冯象初;白键

(西安电子科技大学理学院，陕西西安 710071)

收稿日期:2010-09-08 出版日期:2011-12-20 发布日期:2011-11-29
通讯作者: 王旭东
作者简介:王旭东(1973-)，男，西安电子科技大学博士研究生，E-mail: xudwang@mail.xidian.edu.cn
基金资助:
国家自然科学基金资助项目(60872138);西安电子科技大学基本科研业务费资助项目(72105370)

Novel image restoration method with structure tensor fitting

WANG Xudong;FENG Xiangchu;BAI Jian

(School of Science, Xidian Univ., Xi'an 710071， China)

Received:2010-09-08 Online:2011-12-20 Published:2011-11-29
Contact: WANG Xudong

摘要/Abstract

摘要：

提出了一种新的图像恢复模型．首先对含噪图像进行各向异性扩散，求得光滑后图像的张量场，然后对求得的张量场和噪声图像进行拟合重构．从而克服了各向异性扩散和结构张量的缺点．数值实验表明，本模型在降低图像噪声的同时，能够更好地保留图像的边缘和纹理．

关键词: 图像去噪, 各向异性扩散, 结构张量, 加性算子分裂

Abstract:

A novel model of image restoration is proposed. The structure tensor field is calculated after smoothing the noised image by anisotropic diffusion. Then the image is reconstructed by fitting the structure tensor field and the noise image. The proposed method overcomes shortcomings of the classical anisotropic diffusion method. Numerical experiments verify that the proposed method remove noise effectively while preserving structures well.

Key words: image denoising, anisotropic diffusion, structure tensor, additional operator splitting

王旭东;冯象初;白键. 基于结构张量场拟合的图像恢复方法[J]. J4, 2011, 38(6): 68-74.

WANG Xudong;FENG Xiangchu;BAI Jian. Novel image restoration method with structure tensor fitting[J]. J4, 2011, 38(6): 68-74.

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基于结构张量场拟合的图像恢复方法

Novel image restoration method with structure tensor fitting

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