摘要
在本文中,我们介绍了图像去噪的经典模型-TV去噪模型,TV去噪能更好地保留图像的边缘细节。我们通过实验使用Split Bregman迭代算法对TV模型进行图像去噪,最终我们得出Split Bregman算法收敛速度快,处理TV去噪模型时也能保留图像的细节。
In this paper,we introduce the classical model of image denosing-TV denosing model,TV denosing can retain the edge details of the noise image effectively. We denoise the blurred image through the Split Bregman iteration algorithm in experiment,and finally we known that using Split Bregman algorithm convergence is fast,what＇s more,dealing with problem of TV denoising also can effectively retain the details of the image.
出处
《中国传媒大学学报（自然科学版）》
2017年第2期32-37,共6页
Journal of Communication University of China：Science and Technology
