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Locally adaptive complex wavelet-based demosaicing for color filter array images

Jan Aelterman UGent, Bart Goossens UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2009) PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). 7248.
abstract
A new approach for wavelet-based demosaicing of color filter array (CFA) images is presented. It is observed that conventional wavelet-based demosaicing results in demosaicing artifacts in high spatial frequency regions of the image. By proposing a framework of locally adaptive demosaicing in the wavelet domain, the presented method proposes computationally simple techniques to avoid these artifacts. In order to reduce computation time and memory requirements even more, we propose the use of the dual tree complex wavelet transform. The results show that wavelet-based demosaicing, using the proposed locally adaptive framework, is visually comparable with state-of-the-art pixel based demosaicing. This result is very promising when considering a low complexity wavelet-based demosaicing and denoising approach.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
high spatial frequency regions, wavelet domain, wavelet-based demosaicing, color filter array images, local adaptive complex wavelet, Theoretical or Mathematical, Practical, image denoising, dual tree complex wavelet transform
in
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Proc. Soc. Photo-Opt. Instrum. Eng. (SPIE)
volume
7248
issue title
Wavelet applications in industrial procedding VI
article number
72480J
pages
12 pages
publisher
SPIE, the International Society for Optical Engineering
place of publication
Bellingham, WA, USA
conference name
Conference on Wavelet Applications in Industrial Processing VI
conference location
San José, CA, USA
conference start
2009-01-21
conference end
2009-01-22
Web of Science type
Proceedings Paper
Web of Science id
000288897300016
ISSN
0277-786X
ISBN
9780819474988
DOI
10.1117/12.807347
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1005890
handle
http://hdl.handle.net/1854/LU-1005890
date created
2010-07-07 18:03:00
date last changed
2017-01-02 09:52:39
@inproceedings{1005890,
  abstract     = {A new approach for wavelet-based demosaicing of color filter array (CFA) images is presented. It is observed that conventional wavelet-based demosaicing results in demosaicing artifacts in high spatial frequency regions of the image. By proposing a framework of locally adaptive demosaicing in the wavelet domain, the presented method proposes computationally simple techniques to avoid these artifacts. In order to reduce computation time and memory requirements even more, we propose the use of the dual tree complex wavelet transform. The results show that wavelet-based demosaicing, using the proposed locally adaptive framework, is visually comparable with state-of-the-art pixel based demosaicing. This result is very promising when considering a low complexity wavelet-based demosaicing and denoising approach.},
  articleno    = {72480J},
  author       = {Aelterman, Jan and Goossens, Bart and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)},
  isbn         = {9780819474988},
  issn         = {0277-786X},
  keyword      = {high spatial frequency regions,wavelet domain,wavelet-based demosaicing,color filter array images,local adaptive complex wavelet,Theoretical or Mathematical,Practical,image denoising,dual tree complex wavelet transform},
  language     = {eng},
  location     = {San Jos{\'e}, CA, USA},
  pages        = {12},
  publisher    = {SPIE, the International Society for Optical Engineering},
  title        = {Locally adaptive complex wavelet-based demosaicing for color filter array images},
  url          = {http://dx.doi.org/10.1117/12.807347},
  volume       = {7248},
  year         = {2009},
}

Chicago
Aelterman, Jan, Bart Goossens, Aleksandra Pizurica, and Wilfried Philips. 2009. “Locally Adaptive Complex Wavelet-based Demosaicing for Color Filter Array Images.” In Proceedings of the Society of Photo-optical Instrumentation Engineers (spie). Vol. 7248. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
APA
Aelterman, J., Goossens, B., Pizurica, A., & Philips, W. (2009). Locally adaptive complex wavelet-based demosaicing for color filter array images. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) (Vol. 7248). Presented at the Conference on Wavelet Applications in Industrial Processing VI, Bellingham, WA, USA: SPIE, the International Society for Optical Engineering.
Vancouver
1.
Aelterman J, Goossens B, Pizurica A, Philips W. Locally adaptive complex wavelet-based demosaicing for color filter array images. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE). Bellingham, WA, USA: SPIE, the International Society for Optical Engineering; 2009.
MLA
Aelterman, Jan, Bart Goossens, Aleksandra Pizurica, et al. “Locally Adaptive Complex Wavelet-based Demosaicing for Color Filter Array Images.” Proceedings of the Society of Photo-optical Instrumentation Engineers (spie). Vol. 7248. Bellingham, WA, USA: SPIE, the International Society for Optical Engineering, 2009. Print.