曲阜师范大学学报（自然科学版）2024，Vol.50Issue(1)：53-60,8.DOI:10.3969/j issn.1001-5337.2024.1.053
基于PRP共轭梯度的图像去噪算法
Image denoising algorithm based on PRP conjugate gradient
摘要
Abstract
Two-phase algorithm is an effective method to remove salt-and-pepper noise.In this paper,a PRP conjugate gradient method is designed to solve the unconstrained optimization problem in the two-phase method.This method has two remarkable characteristics:the search direction has sufficient descent;combined with a customized Armijo-type inexact line search,the gradient of iterative sequence tends to zero,instead of the lower limit of the conjugate gradient method.The designed method and some classical conjugate gradient methods are applied to the optimization problem of two-phase algorithm.The numerical results show that the method designed in this paper has advantages in convergence speed and calculation accuracy.关键词
PRP共轭梯度法/两阶段算法/椒盐噪声/全局收敛性Key words
PRP conjugate gradient method/two-phase algorithm/salt-and-pepper noise/global conver-gence分类
数理科学引用本文复制引用
孙敏,孙肖丽,田茂英..基于PRP共轭梯度的图像去噪算法[J].曲阜师范大学学报（自然科学版）,2024,50(1):53-60,8.基金项目
山东省自然科学基金(ZR2022MA081) （ZR2022MA081）
枣庄学院博士科研启动基金. （）
