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Reseach Article

Noise Removal of Facial Expression Images using Wiener Filter

Published on February 2012 by Kanchan Lata Kashyap, Sanjivani Shantaiya
National Conference on Emerging Trends in Computer Science and Information Technology
Foundation of Computer Science USA
NCETCSIT - Number 1
February 2012
Authors: Kanchan Lata Kashyap, Sanjivani Shantaiya
4542db84-036d-4a49-922b-a24195c027d8

Kanchan Lata Kashyap, Sanjivani Shantaiya . Noise Removal of Facial Expression Images using Wiener Filter. National Conference on Emerging Trends in Computer Science and Information Technology. NCETCSIT, 1 (February 2012), 14-17.

@article{
author = { Kanchan Lata Kashyap, Sanjivani Shantaiya },
title = { Noise Removal of Facial Expression Images using Wiener Filter },
journal = { National Conference on Emerging Trends in Computer Science and Information Technology },
issue_date = { February 2012 },
volume = { NCETCSIT },
number = { 1 },
month = { February },
year = { 2012 },
issn = 0975-8887,
pages = { 14-17 },
numpages = 4,
url = { /proceedings/ncetcsit/number1/4754-t004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Computer Science and Information Technology
%A Kanchan Lata Kashyap
%A Sanjivani Shantaiya
%T Noise Removal of Facial Expression Images using Wiener Filter
%J National Conference on Emerging Trends in Computer Science and Information Technology
%@ 0975-8887
%V NCETCSIT
%N 1
%P 14-17
%D 2012
%I International Journal of Computer Applications
Abstract

This paper presents a novel approach for the detection of emotions in highly corrupted noisy environment. The approach involves removal of noise from the image by the Wiener Filter. An automatic system for the recognition of facial expressions is based on a representation of the expression, learned from a training set of pre-selected meaningful features. However, in reality the noises that may embed into an image document will affect the performance of face recognition algorithms.Images will be tested from database in noisy environment of speckle noise. The proposed method uses Wiener Filter for the removal of noise.

References
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  5. Gukturk S B et.al (2001), A Data-Driven Model for Monocular Face Tracking,” Eighth International Conference on Computer Vision (ICCV'01) - Volume 2
  6. Cootes, T. and Kittipanya-ngam, P., (2002) “Comparing variations on the active appearance model algorithm.” In BMVC, pp 837– 846.
  7. J. Ahlberg(2002), “An active model for facial feature tracking,” EURASIP Journal on Applied Signal Processing, vol. 2002, no. 6, pp
Index Terms

Computer Science
Information Sciences

Keywords

Noise Removal Wiener Filter Facial Expression