期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2014
卷号：5
期号：1
页码：249-253
出版社：IJECCE
摘要：Generally the removal process of impulse noise from digital images tends to be difficult due to the uncertain nature of impulse noise. Understanding the uncertainty of impulse noise is also difficult. Recently, Cloud model (CM Filter) filtering has been used to remove the impulse noise in order to get the better output image in denoising process. But CM filtering and other older methods which are used for the impulse noise removal are not upto the requirements due to time elapsing and moderate improvement in PSNR values. In order to get the better PSNR of output image within a short duration, an algorithm namely Weighted Square Masking (WSM) has been proposed in this paper. This WSM filtering method uses the fuzzy mean filter as a part of it. An image which is affected more than 90% of impulse noise can also be recovered effectively by using this WSM filtering
关键词：CM Filter; Fuzzy Means Filter; Impulse Noise; Random Circle Masking; Cloud Model Filtering
