文章基本信息

标题：Comparative Study of PSNR Evaluation for Enhancing the De-Noisy Image
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作者：M.Pradeep ; S.Balu
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：2
出版社：S.S. Mishra
摘要：The grayscale image is transformed into the channel for decomposing the noisy image Through singular value decomposition ,when decomposing the channel noise in the dictionary to refine the pure form of image to be sent to the dictionary for removing the noise,when refined the signal to notify the database for the values in the form should be a singular channel image it should have the pixel range of about 5 below this pixel range we propose the signal will be used to enhancing the channel to track the appropriate pixel range switch over from one image into another can make use of information should be optimal, for its accurate determination of particles is based on the size,position and intensity PSNR evaluation of particlesis based on the sigma co-efficient ratio,time delay is one of the major issue when compared to other SVD,the pixel range of image should be segmented for improving the image pixel ratio
关键词：PSNR Microscopy; Segmentation; B-SVD Decomposition; Tracking; Enhancing the signal channel