文章基本信息

标题：Performance Evaluation of Different Filters in Image Denoising for Different Noise
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作者：Samandeep Kaur ; Sumeet Kaur
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：7
页码：12753
DOI：10.15680/IJIRSET.2016.0507125
出版社：S&S Publications
摘要：Image denoising plays an important role in a wide range of applications such as image restoration, visualtracking, image registration, image segmentation and image classification. Noise acts as a distracting barrier and itdegrades the resolution, image quality, image visuality and the object recognizing capability. There are no of existingmethods for image denoising like wavelets, spatial, non spatial filters etc. In this work, Image denoising is performedby considering different types of noises (Salt & pepper, Gaussian, speckle and Poisson noise) and also analyzed theperformance of different filters like median, wiener, average filters. Wiener filter is very effective for gaussian, speckleand poisson noise and Median filter is very effective for salt & pepper noise. PSNR (Peak signal noise ratio), MSE(mean square error), CC (Correlation coefficient) parameters are used to measure the performance of filters. Further theperformance of different filters is evaluated by taking different types of noises. Further, it provides a framework forresearch work based on image denoising.
关键词：Wiener filter; Poisson noise; Gaussian noise; Speckle noise ; Median filter; Salt & Peeper noise;Poisson noise; PSNR; MSE