信息结构理论在图象去噪中的应用

Information Structure Theory Used in Image Denoising

提出一种基于信息结构的图象去噪新算法．在分析与研究以往图象去噪算法的基础上，开创性地引入了图象信息结构的概念，实现二维图象的去噪．实验结果表明这种方法兼顾了去噪和保边界这一平滑降噪中矛盾的两个方面，是一种有效的新的去噪算法．

In this paper, we present a new algorithm of image denoising based on information structure. After reviewing the recent progress of image denoising, we introduce the theory of image information structure for the first time. The information experiment results show that this method, to some extend, is effective for both smoothing and edge-preserving. It is a new and better image denoising algorithm