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Wavelet based joint denoising of depth and luminance images

Ljubomir Jovanov UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2007) 2007 3DTV Conference. p.374-378
abstract
In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images. Our method first performs estimation of noise and signal covariance matrices and then performs vector denoising. Two versions of the algorithm are presented, depending on the method used for the classification of the image contexts. Denoising results are compared with the ground truth images obtained by averaging of the multiple frames of the still scene.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
video, denoising, TOF camera, noise estimation, RESTORATION
in
2007 3DTV Conference
pages
374 - 378
publisher
IEEE
place of publication
New York, NY, USA
conference name
1st International Conference on 3DTV
conference location
Kos Island, Greece
conference start
2007-05-07
conference end
2007-05-09
Web of Science type
Article
Web of Science id
000253361800094
ISBN
9781424407217
DOI
10.1109/3DTV.2007.4379389
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
424245
handle
http://hdl.handle.net/1854/LU-424245
date created
2008-06-27 16:44:00
date last changed
2012-01-23 12:59:14
@inproceedings{424245,
  abstract     = {In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images. Our method first performs estimation of noise and signal covariance matrices and then performs vector denoising. Two versions of the algorithm are presented, depending on the method used for the classification of the image contexts. Denoising results are compared with the ground truth images obtained by averaging of the multiple frames of the still scene.},
  author       = {Jovanov, Ljubomir and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {2007 3DTV Conference},
  isbn         = {9781424407217},
  keyword      = {video,denoising,TOF camera,noise estimation,RESTORATION},
  language     = {eng},
  location     = {Kos Island, Greece},
  pages        = {374--378},
  publisher    = {IEEE},
  title        = {Wavelet based joint denoising of depth and luminance images},
  url          = {http://dx.doi.org/10.1109/3DTV.2007.4379389},
  year         = {2007},
}

Chicago
Jovanov, Ljubomir, Aleksandra Pizurica, and Wilfried Philips. 2007. “Wavelet Based Joint Denoising of Depth and Luminance Images.” In 2007 3DTV Conference, 374–378. New York, NY, USA: IEEE.
APA
Jovanov, L., Pizurica, A., & Philips, W. (2007). Wavelet based joint denoising of depth and luminance images. 2007 3DTV Conference (pp. 374–378). Presented at the 1st International Conference on 3DTV, New York, NY, USA: IEEE.
Vancouver
1.
Jovanov L, Pizurica A, Philips W. Wavelet based joint denoising of depth and luminance images. 2007 3DTV Conference. New York, NY, USA: IEEE; 2007. p. 374–8.
MLA
Jovanov, Ljubomir, Aleksandra Pizurica, and Wilfried Philips. “Wavelet Based Joint Denoising of Depth and Luminance Images.” 2007 3DTV Conference. New York, NY, USA: IEEE, 2007. 374–378. Print.