文章基本信息

标题：DIGITAL IMAGE PROCESSING TECHNIQUES FOR DETECTION AND REMOVAL OF NOISE IN IMAGES IMPLEMENTING BLIND SOURCE SEPARATION
本地全文：下载
作者：K Devaki Devi ; Dr GN Swamy
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：8
页码：3108-3114
出版社：Engg Journals Publications
摘要：In different fields, the problem of Blind Source Separation (BSS) is known as a collection of linear combinations of unknown sources and worse the coefficients of the linear combinations that are unknown. The main problem is to estimate the matrix of the combination coefficients (mixing matrix) and to reconstruct the sources according to it. The quality of separation of sources from mixtures dramatically is done by exploiting the quality of sparsity of sources, whereby the sources are properly represented according to some collection of signals. There are two main approaches to the �blind source separation� problem solution they are clustering and ICA (independent component analysis).
关键词：BSS; Sparsity; Mixing Matrix; ICA