摘要
介绍了几类非负矩阵分解算法及其在图像处理中的应用,并进行了图像处理实验,从CPU时间、相对误差以及重构后图像质量等方面对各个算法进行了分析和比较.
In this paper, several algorithms for non-negative matrix factorization （NMF） and their application to image processing are introduced firstly. Then the image processing experiments are made on the MATLAB. Lastly, the experimental results which include the time of CPU, the relative error and the reformed image of the al gorithms are compared and analyzed.
出处
《平顶山学院学报》
2013年第5期1-7,共7页
Journal of Pingdingshan University
基金
国家自然科学基金(11071041)
关键词
非负矩阵分解
图像处理
数值仿真
non-negative matrix factorization
image processing
numerical experiments
