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Reseach Article

De-Noising and Contrast Loss Correction in Color Images and Videos

Published on March 2012 by Munmun Ghosal
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 3
March 2012
Authors: Munmun Ghosal
415014e2-244f-4525-949b-a55973418deb

Munmun Ghosal . De-Noising and Contrast Loss Correction in Color Images and Videos. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 3 (March 2012), 13-16.

@article{
author = { Munmun Ghosal },
title = { De-Noising and Contrast Loss Correction in Color Images and Videos },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 3 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 13-16 },
numpages = 4,
url = { /proceedings/ncipet/number3/5209-1020/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A Munmun Ghosal
%T De-Noising and Contrast Loss Correction in Color Images and Videos
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 3
%P 13-16
%D 2012
%I International Journal of Computer Applications
Abstract

This paper initially deals with the removal of noise from color images and videos. Now-a days video transmission is found in many applications such as surveillance, video conferencing etc. The basic communication problem may be posed as conveying source data with highest possible accuracy. When video sequences are transmitted from source to destination, it actually gets transmitted frame by frame. The interference due to noise degrades the quality of video during its transmission. So in order to improve the quality of video sequences at receiver section, optimum reduction of noise is needed. Further the mitigation of simple contrast loss due to added lightness in an image which is often caused by optical scattering due to fog or mist.Hence an attempt to improve the quality of image or video is also done.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Air-light mitigation contrast loss noise