Image Restoration Employing a Local Structural Adaptive Total Variation Model

被引：0
作者：
Zeng, W. L. [2 ]
Lu, X. B. [1 ]
机构：
[1] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Transportat, Nanjing 210096, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ADVANCES SCIENCE AND CONTEMPORARY ENGINEERING 2012 | 2012年 / 50卷
基金：
中国国家自然科学基金;
关键词：
Image restoratiom; Discontinuity indicator; adaptive total variation (LSATV); structure tensor; NOISE REMOVAL; ALGORITHMS;
D O I：
10.1016/j.proeng.2012.10.068
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to overcome the disadvantage of total variation (TV) method, this paper presents a local structure adaptive (LSA) TV model based on a discontinuity indicator for image restoration. The proposed method first presents a discontinuity indicator based on the eigenvalues of the structure tensor, and then p norm is adaptively selected based on the proposed discontinuity indicator. Experimental results show that the proposed method can effectively preserve edge information during noise removal and its superiority to the state-of-the-art methods. (C) 2012 Elsevier B.V. Selection and/or peer-review under responsibility of Bin Nausantar University
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页码：623 / 628
页数：6
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