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Video Denoising in Spatio-Temporal Domain for Video Codec

Published on None 2011 by Ashly John
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 16
None 2011
Authors: Ashly John
8378da07-2273-4f19-a62d-8309117d23d5

Ashly John . Video Denoising in Spatio-Temporal Domain for Video Codec. International Conference on VLSI, Communication & Instrumentation. ICVCI, 16 (None 2011), 38-40.

@article{
author = { Ashly John },
title = { Video Denoising in Spatio-Temporal Domain for Video Codec },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 16 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 38-40 },
numpages = 3,
url = { /proceedings/icvci/number16/2771-1691/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Ashly John
%T Video Denoising in Spatio-Temporal Domain for Video Codec
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 16
%P 38-40
%D 2011
%I International Journal of Computer Applications
Abstract

Noise in video sequences reduce video compression performance. The solution is introduction of noise reduction step prior to encoding..Noise reduction is done by video denoising .It is done by reusing motion estimation resources from video coding for video denoising. But it cannot be done directly.For that motion field filtering is used .It is because motion estimation resources may contain false motion vectors. It should be removed .This brings out accuracy.To estimate correct motion temporal filtering is done.the spatially non-stationery noise are removed by spatial filering.

References
  1. DIGITAL IMAGE PROCESSING, by Rafael C. Gonzalez, Richard E. Woods. An imprint of Pearson Education, 3rd edition.
  2. DIGITAL IMAGE PROCESSING USING MATLAB, by Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddies . An imprint of Pearson Education, 3rd edition.
  3. Fahimuddin.Shaik, , B.Venkatesh, ”A Novel Video denoising in spatio-Temporal Domain For Video codec” proceedings of International Conference on Emerging Trends in Signal Processing and VLSI Design (SPVL- 2010),pp 457-461, INDIA, June 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Image enhancement motion estimation noise video coding video signal processing