图像稀疏理论及其应用初步研究  

A primary and application research on image sparse representation

作　　者：管蓉[1] 王小书[1] 王鑫[1] 吕一[1] 

机构地区：[1]中北大学理学院,山西太原030051

出　　处：《商丘师范学院学报》2012年第3期20-22,共3页Journal of Shangqiu Normal University

基　　金：国家自然科学基金资助项目(61071193)

摘　　要：图像稀疏表示是指用很少的数据捕获感兴趣目标的重要信息的能力,通过基或字典中很少量元素的线性组合的形式来描述信号.图像稀疏表示研究已成为近年来图像表示研究的热点.本文系一文献综述,主要阐述了信号稀疏表示和图像稀疏表示的基本理论及其在压缩方面的应用,并且介绍了一种新的稀疏性正则化的泊松噪声图像去噪算法.Image sparse representation is the ability to capture significant information of an object of interest in a small description, which describes the signal using linear combination of a small amount of elements by the base or in the dictionary. Recently, image sparse representation has been the hot topic of image representation. This paper is a literature review, in which signal sparse representation and image sparse representation basic theory, the application of compression are illustrated. Finally, we introduce a new kind of image poisson denoising using sparse representations.

关 键 词：信号稀疏 图像稀疏 图像压缩 图像去噪 

分 类 号：O29[理学—应用数学]