Ghent University Academic Bibliography

Advanced

Content adaptive wavelet based method for joint denoising of depth and luminance images

Ljubomir Jovanov UGent, Nemanja Petrovic UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2007) Proceedings of SPIE, the International Society for Optical Engineering. 6763.
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. Luminance image is segmented into similar contexts usina k-means algorithm, which are used for calculation of covariance matrices. 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
wavelets, depth images, noise estimation, denoising
in
Proceedings of SPIE, the International Society for Optical Engineering
editor
F Truchelet and O Laligant
volume
6763
issue title
Wavelet applications in industrial processing V
article_number
67630D
pages
8 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
Conference on Wavelet Applications in Industrial Processing V
conference location
Boston, MA, USA
conference start
2007-09-11
conference end
2007-09-12
Web of Science type
Article
Web of Science id
000253269200009
ISSN
0277-786X
DOI
10.1117/12.736437
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
424262
handle
http://hdl.handle.net/1854/LU-424262
date created
2008-06-27 16:56:00
date last changed
2012-01-23 10:38:34
@inproceedings{424262,
  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. Luminance image is segmented into similar contexts usina k-means algorithm, which are used for calculation of covariance matrices. Denoising results are compared with the ground truth images obtained by averaging of the multiple frames of the still scene.},
  articleno    = {67630D},
  author       = {Jovanov, Ljubomir and Petrovic, Nemanja and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE, the International Society for Optical Engineering},
  editor       = {Truchelet, F and Laligant, O},
  issn         = {0277-786X},
  keyword      = {wavelets,depth images,noise estimation,denoising},
  language     = {eng},
  location     = {Boston, MA, USA},
  pages        = {8},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Content adaptive wavelet based method for joint denoising of depth and luminance images},
  url          = {http://dx.doi.org/10.1117/12.736437},
  volume       = {6763},
  year         = {2007},
}

Chicago
Jovanov, Ljubomir, Nemanja Petrovic, Aleksandra Pizurica, and Wilfried Philips. 2007. “Content Adaptive Wavelet Based Method for Joint Denoising of Depth and Luminance Images.” In Proceedings of SPIE, the International Society for Optical Engineering, ed. F Truchelet and O Laligant. Vol. 6763. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Jovanov, L., Petrovic, N., Pizurica, A., & Philips, W. (2007). Content adaptive wavelet based method for joint denoising of depth and luminance images. In F. Truchelet & O. Laligant (Eds.), Proceedings of SPIE, the International Society for Optical Engineering (Vol. 6763). Presented at the Conference on Wavelet Applications in Industrial Processing V, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Jovanov L, Petrovic N, Pizurica A, Philips W. Content adaptive wavelet based method for joint denoising of depth and luminance images. In: Truchelet F, Laligant O, editors. Proceedings of SPIE, the International Society for Optical Engineering. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2007.
MLA
Jovanov, Ljubomir, Nemanja Petrovic, Aleksandra Pizurica, et al. “Content Adaptive Wavelet Based Method for Joint Denoising of Depth and Luminance Images.” Proceedings of SPIE, the International Society for Optical Engineering. Ed. F Truchelet & O Laligant. Vol. 6763. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2007. Print.