eng Science and Education Publishing American Journal of Electrical and Electronic Engineering 2328-7357 2013-10-24 1 1 46 51 10.12691/ajeee-1-3-3 AJEEE2013133 article Harneet Kaur harneet758@gmail.com 1 Neeru Singla 1 Electronics & Communication, R.I.E.I.T Railmajra, SBS Nagar, India 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. http://pubs.sciepub.com/ajeee/1/3/3/ajeee-1-3-3.pdf frames salt & pepper noise Gaussian noise wiener filter median filter