摘要
本文主要研究基于小波变换的彩色图像去噪问题。为了提高收敛速度和表现效果,在快速迭代收缩阈值算法(FISTA)的基础上结合小波变换得到一种新的算法。仿真结果表明,即使选取较大参数(alpha),该算法仍然可以有效解决彩色图像去噪问题。
This paper mainly studies the problem of color image denoising based on wavelet transform.In order to improve the convergence speed and performance,a new algorithm is proposed based on fast iterative shrinkage threshold algorithm(fista)and wavelet transform.The simulation results show that the algorithm can effectively solve the problem of color image denoising even if large parameters(alpha)are selected.
作者
程凡强
朱永贵
CHENG Fan-qiang;ZHU Yong-gui(College of Data Science and Intelligent Media,Communication University of China,Beijing 100024,China)
出处
《中国传媒大学学报（自然科学版）》
2020年第1期19-23,41,共6页
Journal of Communication University of China：Science and Technology
基金
国家自然科学基金项目(No.11571325)资助
中国传媒大学中央高校基本科研业务费专项资金资助(CUC2019A002,CUC2019B021)
关键词
迭代收缩阈值算法
快速迭代收缩阈值算法
线性逆问题
图像去噪
iterative shrinkage threshold algorithm
fast iterative shrinkage threshold algorithm
linear inverse problem
image denoising
