Image denoising algorithm based on PRP conjugate gradient
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.
国家科技期刊平台
NSTL
万方数据
维普
