文章基本信息

标题：On Objective Estimation Algorithm Based on PCA Image Sparse
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作者：Yu, Ran
期刊名称：Journal of Multimedia
印刷版ISSN：1796-2048
出版年度：2014
卷号：9
期号：3
页码：379-385
DOI：10.4304/jmm.9.3.379-385
语种：English
出版社：Academy Publisher
摘要：Since it is usually unknown the over-sampling and under-sampling of image sparse in image compression, thereby can not verify the merits of sampling and reconstruction algorithm. Therefore it studies the signal sparse K estimation method of compressive sensing and proposes the objective estimation algorithm based on PCA image sparse which combined forward projection transformation theory and principal component transformation (PCA) method. In this paper, it creates image sparse and a linear relationship between the variance of coefficient function through the elaboration of compressive sensing theory to PCA and under the assumption that the principal component transform coefficient is approximately normal function. Experimental results show that: the proposed algorithm possess advantages of fast, low complexity and so on
关键词：Orthogonal Transform;Image SNR;Projection Transformation;Data Fitting