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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)
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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.
Keywords
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

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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.
@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},
}

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