| Home  | About ScienceAsia  | Publication charge  | Advertise with us  | Subscription for printed version  | Contact us  
Editorial Board
Journal Policy
Instructions for Authors
Online submission
Author Login
Reviewer Login
Volume 50 Number 1
Volume 49 Number 6
Volume 49 Number 5
Volume 49S Number 1
Volume 49 Number 4
Volume 49 Number 3
Earlier issues
Volume 49 Number 3


Research articles

ScienceAsia 50 (2024):ID 2024002 1-7 |doi: 10.2306/scienceasia1513-1874.2024.002


A sufficient descent conjugate gradient method for impulse noise removal


Peiting Gao, Yongfei Wu*

 
ABSTRACT:     In this paper, we introduce a modified PRP-type conjugate gradient (CG) method for impulse noise removal in the second phase of the two-phase method. A nice property of the scheme is that the search direction at each iteration satisfies the sufficient descent condition independent of any line search. Under the Armijo-type line search, its global convergence result is proved. Numerical comparison is given to illustrate that the proposed method for removing impulse noise is promising.

Download PDF

9 Downloads 194 Views


a College of Data Science, Taiyuan University of Technology, Shanxi 030024 China

* Corresponding author, E-mail: wuyongfei@tyut.edu.cn

Received 21 Apr 2022, Accepted 25 Mar 2023