A fast nonlocally centralized sparse representation algorithm for image denoising-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A fast nonlocally centralized sparse representation algorithm for image denoising

Published:2017-02 Issue: Volume:131 Page:99-112
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Xu Shaoping,Yang Xiaohui,Jiang Shunliang

Funder

National Natural Science Foundation of China

Education Department of Jiangxi Province of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference48 articles.

1. Superpixel-guided nonlocal means for image denoising and super-resolution;Li;Signal Process.,2016

2. Image denoising with multidirectional shrinkage in directionlet domain;Liu;Signal Process.,2016

3. Modified BM3D algorithm for image denoising using nonlocal centralization prior;Zhong;Signal Process.,2015

4. A total variation recursive space-variant filter for image denoising;Afonso;Digital Signal Process.,2015

5. Non-convex hybrid total variation for image denoising;Oh;J. Vis. Commun. Image Represent.,2013

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RSTC: Residual Swin Transformer Cascade to approximate Taylor expansion for image denoising;Computer Vision and Image Understanding;2024-11

2. High dimensional model representation median filter for removing salt and pepper noise;Signal, Image and Video Processing;2024-05-31

3. Anomaly detection in telemetry data using a jointly optimal one-class support vector machine with dictionary learning;Reliability Engineering & System Safety;2024-02

4. Application of Symmetric ADMM Based on Pre-Learned Dictionary in Face Denoising;Modeling and Simulation;2024

5. A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks;Applied Soft Computing;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3