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：13394
DOI：10.15680/IJIRSET.2016.0507113
出版社：S&S Publications
摘要：The proper information extraction from a digitized photo of human face has a great necessity in today’sresearch work. Different types of high frequency noises must be removed in order to get smooth and ideal informationfrom the picture. The choice of correct low pass filter is important in order to remove significant amount of highfrequency noise components without affecting the facial information in the image. A case study has been performedwith several low pass filtering techniques in order to suggest the probable better filtering techniques for different typesof noises in different circumstances. The variations of different filter performances alongside their dimensions are alsoaddressed in this paper.
关键词：Low Pass Filter; Mean Filter; Median Filter; Wiener filter; Gaussian Noise; Salt and Pepper Noise;Poisson Noise
