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A New DY Conjugate Gradient Method and Applications to Image Denoising
Wei XUE Junhong REN Xiao ZHENG Zhi LIU Yueyong LIANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2018/12/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Fundamentals of Information Systems
unconstrained optimization, conjugate gradient method, line search, image denoising,
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Dai-Yuan (DY) conjugate gradient method is an effective method for solving large-scale unconstrained optimization problems. In this paper, a new DY method, possessing a spectral conjugate parameter βk, is presented. An attractive property of the proposed method is that the search direction generated at each iteration is descent, which is independent of the line search. Global convergence of the proposed method is also established when strong Wolfe conditions are employed. Finally, comparison experiments on impulse noise removal are reported to demonstrate the effectiveness of the proposed method.