International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 58 - Issue 8 |
Published: November 2012 |
Authors: Reeja S.R, N. P. Kavya |
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Reeja S.R, N. P. Kavya . Noise Reduction in Video Sequences – The State of Art and the Technique for Motion Detection. International Journal of Computer Applications. 58, 8 (November 2012), 31-36. DOI=10.5120/9304-3526
@article{ 10.5120/9304-3526, author = { Reeja S.R,N. P. Kavya }, title = { Noise Reduction in Video Sequences – The State of Art and the Technique for Motion Detection }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 58 }, number = { 8 }, pages = { 31-36 }, doi = { 10.5120/9304-3526 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Reeja S.R %A N. P. Kavya %T Noise Reduction in Video Sequences – The State of Art and the Technique for Motion Detection%T %J International Journal of Computer Applications %V 58 %N 8 %P 31-36 %R 10.5120/9304-3526 %I Foundation of Computer Science (FCS), NY, USA
This paper provides a detailed state of the art of different video denoising techniques. Most of the video denoising algorithms are done through the motion detection technique. The main goal is to give a survey of various noise reduction techniques for video. Object detection is the first level of video denoising. The first level can be achieved through Motion Detection. This paper explained about the motion estimation and compensation techniques. The different video denoising techniques, motion detection techniques and the noises used are shown through the taxonomy.