图像变换的稀疏性能比较仿真

Contrast Simulation on Sparse Representation Performance of Image Transform

图像处理领域基本问题之一是图像的稀疏表示,并且图像的有效表示是图像处理应用开展的基础,图像表示的有效性是指用很少的数据捕获感兴趣目标重要信息的能力,即稀疏表示能力。文中着点于图像变换这种图像表示的方式,首先介绍图像变换稀疏性能比较的意义,并引出了图像稀疏性度量方式的定义形式,之后分别对几种典型图像变换的稀疏性能进行了实验模拟仿真,并利用MATLAB软件对变换后的图像进行了稀疏性能比较和分析,实现了图像变换稀疏性能可视化对比仿真。

Image representation is one of the basic problems in image processing. Efficient representation of the image lies at the foundation of image processing task. The ability to capture significant information of an object of interest in a small description is used to evaluating the efficiency of a. representation. That value is the ability of sparse representation. This article focuses on the image transform, and firstly introduces the significance of sparse performance in image transform, then a defined form was given to the sparse metrics in image. This work mainly focused on comparing the sparse representation performance of image transform, and using MATLAB software to implement sparse performance contrast simulation of the image transform, even to achieve the sparse performance visualization simulation of some typical image transforms by MATLAB software.