Construction and solution of an adaptive image-restoration model for removing blur and mixed noise-Reference-Cited by-同舟云学术

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Construction and solution of an adaptive image-restoration model for removing blur and mixed noise

Published:2016-03-28 Issue:2 Volume:25 Page:023013
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Wang Youquan¹,Cui Lihong¹,Cen Yigang²,Sun Jianjun³

Affiliation:

1. Beijing University of Chemical Technology, Department of Mathematics, 15 Beisanhuan East Road, ChaoYang District, Beijing 100029, China

2. Beijing Jiaotong University, School of Computer and Information Technology, 3 Shangyuancun, HaiDian District, Beijing 100044, China

3. Beijing University of Chemical Technology, College of Chemical Engineering, 15 Beisanhuan East Road, ChaoYang District, Beijing 100029, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference34 articles.

1. Solutions of Ill-Posed Problems.

2. Nonlinear total variation based noise removal algorithms

3. Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction

4. Nonconvex TV$^q$-Models in Image Restoration: Analysis and a Trust-Region Regularization--Based Superlinearly Convergent Solver

5. Handling Noise in Single Image Deblurring Using Directional Filters

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