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.
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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
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