@article{ajeee2013133,
author={{Kaur, Harneet and Singla, Neeru},
title={Video De-Noising Using Fuzzy Technique},
journal={American Journal of Electrical and Electronic Engineering},
volume={1},
number={3},
pages={46--51},
year={2013},
url={http://pubs.sciepub.com/ajeee/1/3/3},
issn={2328-7357},
abstract={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.},
doi={10.12691/ajeee-1-3-3}
publisher={Science and Education Publishing}
}