期刊名称：American Journal of Electrical and Electronic Engineering
印刷版ISSN：2328-7365
电子版ISSN：2328-7357
出版年度：2013
卷号：1
期号：3
页码：46-51
DOI：10.12691/ajeee-1-3-3
语种：English
出版社：Science and Education Publishing
摘要：The recent advances in representations of video have achieved outstanding de-noising results, but removing real, structured noise in digital videos remains a challenging problem. In video de-noising the goal of proposed algorithm is to achieve an efficient, adaptive and high-quality video de-noising algorithm. In video and television, noise refers to the random dot pattern that is superimposed on the image as a result of electronic noise. Images taken with both digital cameras and conventional cameras will pick up noise from a variety of sources. This paper deals with performance comparison of Median and Wiener Filters in video de-noising for Gaussian noise and Salt & Pepper noise. Several examples were conducted to evaluate the performance of the median filter and wiener filter on Gaussian noise and salt and pepper noise.
关键词：frames; salt & pepper noise; Gaussian noise; wiener filter; median filter
