Ghent University Academic Bibliography

Advanced

Multiview image sequence enhancement

Ljubomir Jovanov UGent, Hiep Luong UGent, Tijana Ruzic and Wilfried Philips UGent (2015) Proceedings of SPIE. 9399.
abstract
Realistic visualization is crucial for more intuitive representation of complex data, medical imaging, simulation and entertainment systems. Multiview autostereoscopic displays are great step towards achieving complete immersive user experience. However, providing high quality content for this type of displays is still a great challenge. Due to the different characteristics/settings of the cameras in the multivew setup and varying photometric characteristics of the objects in the scene, the same object may have different appearance in the sequences acquired by the different cameras. Images representing views recorded using different cameras in practice have different local noise, color and sharpness characteristics. View synthesis algorithms introduce artefacts due to errors in disparity estimation/bad occlusion handling or due to erroneous warping function estimation. If the input multivew images are not of sufficient quality and have mismatching color and sharpness characteristics, these artifacts may become even more disturbing. The main goal of our method is to simultaneously perform multiview image sequence denoising, color correction and the improvement of sharpness in slightly blurred regions. Results show that the proposed method significantly reduces the amount of the artefacts in multiview video sequences resulting in a better visual experience.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
denoising, VIDEO, color matching, multiview, restoration, sharpness improvement, COLOR CORRECTION
in
Proceedings of SPIE
editor
Karen Egiazarian, Sos Agaian and Atanas Gotchev
volume
9399
issue title
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XIII
article number
93990K
pages
11 pages
publisher
SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS
place of publication
BELLINGHAM, WA 98227-0010 USA
conference name
Conference on Image Processing - Algorithms and Systems XIII
conference location
San Francisco, CA
conference start
2015-02-10
conference end
2015-02-11
Web of Science type
Proceedings Paper
Web of Science id
000354103800017
ISSN
0277-786X
ISBN
978-1-62841-489-9
DOI
10.1117/12.2083254
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7065635
handle
http://hdl.handle.net/1854/LU-7065635
date created
2016-02-01 17:05:58
date last changed
2017-01-02 09:53:20
@inproceedings{7065635,
  abstract     = {Realistic visualization is crucial for more intuitive representation of complex data, medical imaging, simulation and entertainment systems. Multiview autostereoscopic displays are great step towards achieving complete immersive user experience. However, providing high quality content for this type of displays is still a great challenge. Due to the different characteristics/settings of the cameras in the multivew setup and varying photometric characteristics of the objects in the scene, the same object may have different appearance in the sequences acquired by the different cameras. Images representing views recorded using different cameras in practice have different local noise, color and sharpness characteristics. View synthesis algorithms introduce artefacts due to errors in disparity estimation/bad occlusion handling or due to erroneous warping function estimation. If the input multivew images are not of sufficient quality and have mismatching color and sharpness characteristics, these artifacts may become even more disturbing. The main goal of our method is to simultaneously perform multiview image sequence denoising, color correction and the improvement of sharpness in slightly blurred regions. Results show that the proposed method significantly reduces the amount of the artefacts in multiview video sequences resulting in a better visual experience.},
  articleno    = {93990K},
  author       = {Jovanov, Ljubomir and Luong, Hiep and Ruzic, Tijana and Philips, Wilfried},
  booktitle    = {Proceedings of SPIE},
  editor       = {Egiazarian, Karen and Agaian, Sos and Gotchev, Atanas},
  isbn         = {978-1-62841-489-9},
  issn         = {0277-786X},
  keyword      = {denoising,VIDEO,color matching,multiview,restoration,sharpness improvement,COLOR CORRECTION},
  language     = {eng},
  location     = {San Francisco, CA},
  pages        = {11},
  publisher    = {SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS},
  title        = {Multiview image sequence enhancement},
  url          = {http://dx.doi.org/10.1117/12.2083254},
  volume       = {9399},
  year         = {2015},
}

Chicago
Jovanov, Ljubomir, Hiep Luong, Tijana Ruzic, and Wilfried Philips. 2015. “Multiview Image Sequence Enhancement.” In Proceedings of SPIE, ed. Karen Egiazarian, Sos Agaian, and Atanas Gotchev. Vol. 9399. BELLINGHAM, WA 98227-0010 USA: SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS.
APA
Jovanov, L., Luong, H., Ruzic, T., & Philips, W. (2015). Multiview image sequence enhancement. In Karen Egiazarian, S. Agaian, & A. Gotchev (Eds.), Proceedings of SPIE (Vol. 9399). Presented at the Conference on Image Processing - Algorithms and Systems XIII, BELLINGHAM, WA 98227-0010 USA: SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS.
Vancouver
1.
Jovanov L, Luong H, Ruzic T, Philips W. Multiview image sequence enhancement. In: Egiazarian K, Agaian S, Gotchev A, editors. Proceedings of SPIE. BELLINGHAM, WA 98227-0010 USA: SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS; 2015.
MLA
Jovanov, Ljubomir, Hiep Luong, Tijana Ruzic, et al. “Multiview Image Sequence Enhancement.” Proceedings of SPIE. Ed. Karen Egiazarian, Sos Agaian, & Atanas Gotchev. Vol. 9399. BELLINGHAM, WA 98227-0010 USA: SPIE-INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS, 2015. Print.