期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：4
页码：11553-11557
出版社：IJECS
摘要：In this research paper we have introduced a comparative performance analysis of the removal of random valued impulse noiseusing different filters. Removal of random valued impulse noise in digital images with edge preservation is one of the challenging tasks indigital image processing. For elimination of noise from digital images plays a vital role. Effective detection of noisy pixel based on medianvalue and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in different comparative methods inthis paper. Here we have compare a different type of de-noising algorithms they are - Median filter (MF) [4], Centre weighted median filter(CWM) [6] [15], Progressive switching median filter (PSMF) [12], Signal dependent rank order median filter (SDROM) [9] [14], Adaptive centerweighted median filter (ACWM) [10] [11], (ACWMF), Tristate median filter (TSM) [13. The presence of high performing detection stage for thedetection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise. Here we have comparedifferent method on the basis of PSNR and MSE values
关键词：Mean square error; Peak signal to noise ratio; Median filter; Random valued impulse noise.
