A New DY Conjugate Gradient Method and Applications to Image Denoising-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A New DY Conjugate Gradient Method and Applications to Image Denoising

Published:2018-12-01 Issue:12 Volume:E101.D Page:2984-2990
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

XUE Wei¹,REN Junhong²,ZHENG Xiao¹,LIU Zhi³,LIANG Yueyong⁴

Affiliation:

1. School of Computer Science and Technology, Anhui University of Technology

2. Institute of Automation, Chinese Academy of Sciences

3. Department of Mathematical and Systems Engineering, Shizuoka University

4. PHIMA Intelligence Technology Co., Ltd.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E101.D/12/E101.D_2018EDP7210/_pdf

Reference38 articles.

1. [1] N. Andrei, “A Dai-Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstraind optimization,” Applied Mathematics Letters, vol.21, no.2, pp.165-171, 2008. 10.1016/j.aml.2007.05.002

2. [2] N. Andrei, “Another hybrid conjugate gradient algorithm for unconstrained optimization,” Numerical Algorithms, vol.47, no.2, pp.143-156, 2008. 10.1007/s11075-007-9152-9

3. [3] S. Babaie-Kafaki, “A hybrid conjugate gradient method based on a quadratic relaxation of the Dai-Yuan hybrid conjugate gradient parameter,” Optimization, vol.62, no.7, pp.929-941, 2013. 10.1080/02331934.2011.611512

4. [4] S. Babaie-Kafaki and R. Ghanbari, “A hybridization of the Hestenes-Stiefel and Dai-Yuan conjugate gradient methods based on a least-squares approach,” Optimization Methods and Software, vol.30, no.4, pp.673-681, 2015. 10.1080/10556788.2014.966825

5. [5] E.G. Birgin and J.M. Martínez, “A spectral conjugate gradient method for unconstrained optimization,” Applied Mathematics and Optimization, vol.43, no.2, pp.117-128, 2001. 10.1007/s00245-001-0003-0

Cited by 17 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. Image Noise Reduction and Solution of Unconstrained Minimization Problems via New Conjugate Gradient Methods;Mathematics;2024-09-05

2. Modification of a conjugate gradient approach for convex constrained nonlinear monotone equations with applications in signal recovery and image restoration;Communications in Nonlinear Science and Numerical Simulation;2024-09

3. A New Variant of the Conjugate Descent Method for Solving Unconstrained Optimization Problems and Applications;Mathematics;2024-08-05

4. Influence to New Formulas Gradient for Removing Impulse Noise Images;Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software";2024

5. Superior Formula for Gradient Impulse Noise Reduction from Images;International Journal of Applied and Computational Mathematics;2023-12-08

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