Improved image deblurring based on salient-region segmentation

被引：22

作者：

Zhang, Chongyang ^{[1
]}

Lin, Weiyao ^{[1
]}

Li, Wei ^{[2
]}

Zhou, Bing ^{[3
]}

Xie, Jun ^{[1
]}

Li, Jijia ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

[2] Beihang Univ, Sch Comp Sci & Engn, State Key Lab Virtual Real Technol & Syst, Beijing 100191, Peoples R China

[3] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China

来源：

SIGNAL PROCESSING-IMAGE COMMUNICATION | 2013年 / 28卷 / 09期

基金：

美国国家科学基金会;

关键词：

Image deblurring; Salient-region segmentation; Motion deblurring; MOTION; RESTORATION;

D O I：

10.1016/j.image.2013.07.004

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Image deblurring techniques play important roles in many image processing applications. As the blur varies spatially across the image plane, it calls for robust and effective methods to deal with the spatially-variant blur problem. In this paper, a Saliency-based Deblurring (SD) approach is proposed based on the saliency detection for salient-region segmentation and a corresponding compensate method for image deblurring. We also propose a PDE-based deblurring method which introduces an anisotropic Partial Differential Equation (PDE) model for latent image prediction and employs an adaptive optimization model in the kernel estimation and deconvolution steps. Experimental results demonstrate the effectiveness of the proposed algorithm. (c) 2013 Elsevier B.V. All rights reserved.

引用

页码：1171 / 1186

页数：16

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