期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：7
页码：6773-6776
DOI：10.15680/IJIRCCE.2018.0607017
出版社：S&S Publications
摘要：This paper addresses the problem of image denoising which is still a valid challenge. An image is often
corrupted by noise in its acquisition, production and transmission. In order to improve the quality and visual perception
of an image noise must be removed and the important features like edge details should be retained as much as possible.
In this paper we studied and analyzed different image denoising methods. The main aim of this survey is to provide
evolution of research in the field of image denoising & improvement of the denoising algorithm. During survey of
work we have found that different authors have developed different methods to solve the purpose. So we conclude that
there is not any unique method in this regard. Performance of de-noising algorithm is measured using quantitative
performance measures such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE). So, in this paper, we come
across to develop a conclusion of effective algorithm for removing Impulsive noise.
关键词：Wavelet transforms; SNR; MSE; PSNR; PURE;LET and MRBF;
