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Kalman Filtering Technique For Video Denoising Method

by Lakshmanan.s, Mythili.c, V. Kavitha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 20
Year of Publication: 2012
Authors: Lakshmanan.s, Mythili.c, V. Kavitha
10.5120/6218-8707

Lakshmanan.s, Mythili.c, V. Kavitha . Kalman Filtering Technique For Video Denoising Method. International Journal of Computer Applications. 43, 20 ( April 2012), 10-13. DOI=10.5120/6218-8707

@article{ 10.5120/6218-8707,
author = { Lakshmanan.s, Mythili.c, V. Kavitha },
title = { Kalman Filtering Technique For Video Denoising Method },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 20 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number20/6218-8707/ },
doi = { 10.5120/6218-8707 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:53.698369+05:30
%A Lakshmanan.s
%A Mythili.c
%A V. Kavitha
%T Kalman Filtering Technique For Video Denoising Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 20
%P 10-13
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital Cameras which capture images and videos are directly in digital form . Digital Images or Videos are often corrupted by impulse noises. It is caused by disturbances and corrupted in the video signal. So the image processing scheme should be one of the important part in any vision application permitting to suppress noise and improve the image performances. This demands to have number of filtering schemes are introduced such as fuzzy and non-fuzzy and linear and non-linear are used. In this paper, propose Kalman filter is used to remove the impulse noise. Kalman filter is the best and efficient filters in the sense of minimizing mean square error (MSE) and high PSNR (peak signal to noise ratio) between the original video signal and recovered video signal.

References
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  3. Andrzej Lesniak, Tomasz Danek " Application of Kalman filter to noise reduction in multichannel data" Vol 17/18 ,2009
  4. Scarp Erturk,"Real Time Digital Image Stabilization Using Kalman Filters,"Real Time Imaging Vol-8,p. no 317-328. 2002
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  8. Bravn,R. G. & Huwang,P. Y. C. (1992) Introduction to Random Signals and Applied Kalman filtering (2ndedn). New York;Jam Wiley&Sons.
Index Terms

Computer Science
Information Sciences

Keywords

Cameras Cameras Iso Colored Image Impulse Noise Kalman Filter Recursive Algorithms

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