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The effect of the color filter array layout choice on state-of-the-art demosaicing

Ana Stojkovic (UGent) , Ivana Shopovska (UGent) , Hiep Luong (UGent) , Jan Aelterman (UGent) , Ljubomir Jovanov (UGent) and Wilfried Philips (UGent)
(2019) SENSORS. 19(14).
Author
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Abstract
Interpolation from a Color Filter Array (CFA) is the most common method for obtaining full color image data. Its success relies on the smart combination of a CFA and a demosaicing algorithm. Demosaicing on the one hand has been extensively studied. Algorithmic development in the past 20 years ranges from simple linear interpolation to modern neural-network-based (NN) approaches that encode the prior knowledge of millions of training images to fill in missing data in an inconspicious way. CFA design, on the other hand, is less well studied, although still recognized to strongly impact demosaicing performance. This is because demosaicing algorithms are typically limited to one particular CFA pattern, impeding straightforward CFA comparison. This is starting to change with newer classes of demosaicing that may be considered generic or CFA-agnostic. In this study, by comparing performance of two state-of-the-art generic algorithms, we evaluate the potential of modern CFA-demosaicing. We test the hypothesis that, with the increasing power of NN-based demosaicing, the influence of optimal CFA design on system performance decreases. This hypothesis is supported with the experimental results. Such a finding would herald the possibility of relaxing CFA requirements, providing more freedom in the CFA design choice and producing high-quality cameras.
Keywords
demosaicing, debayering, color filter array, image interpolation, image reconstruction

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MLA
Stojkovic, Ana et al. “The Effect of the Color Filter Array Layout Choice on State-of-the-art Demosaicing.” SENSORS 19.14 (2019): n. pag. Print.
APA
Stojkovic, A., Shopovska, I., Luong, H., Aelterman, J., Jovanov, L., & Philips, W. (2019). The effect of the color filter array layout choice on state-of-the-art demosaicing. SENSORS, 19(14).
Chicago author-date
Stojkovic, Ana, Ivana Shopovska, Hiep Luong, Jan Aelterman, Ljubomir Jovanov, and Wilfried Philips. 2019. “The Effect of the Color Filter Array Layout Choice on State-of-the-art Demosaicing.” Sensors 19 (14).
Chicago author-date (all authors)
Stojkovic, Ana, Ivana Shopovska, Hiep Luong, Jan Aelterman, Ljubomir Jovanov, and Wilfried Philips. 2019. “The Effect of the Color Filter Array Layout Choice on State-of-the-art Demosaicing.” Sensors 19 (14).
Vancouver
1.
Stojkovic A, Shopovska I, Luong H, Aelterman J, Jovanov L, Philips W. The effect of the color filter array layout choice on state-of-the-art demosaicing. SENSORS. Multidisciplinary Digital Publishing Institute; 2019;19(14).
IEEE
[1]
A. Stojkovic, I. Shopovska, H. Luong, J. Aelterman, L. Jovanov, and W. Philips, “The effect of the color filter array layout choice on state-of-the-art demosaicing,” SENSORS, vol. 19, no. 14, 2019.
@article{8624108,
  abstract     = {Interpolation from a Color Filter Array (CFA) is the most common method for obtaining full color image data. Its success relies on the smart combination of a CFA and a demosaicing algorithm. Demosaicing on the one hand has been extensively studied. Algorithmic development in the past 20 years ranges from simple linear interpolation to modern neural-network-based (NN) approaches that encode the prior knowledge of millions of training images to fill in missing data in an inconspicious way. CFA design, on the other hand, is less well studied, although still recognized to strongly impact demosaicing performance. This is because demosaicing algorithms are typically limited to one particular CFA pattern, impeding straightforward CFA comparison. This is starting to change with newer classes of demosaicing that may be considered generic or CFA-agnostic. In this study, by comparing performance of two state-of-the-art generic algorithms, we evaluate the potential of modern CFA-demosaicing. We test the hypothesis that, with the increasing power of NN-based demosaicing, the influence of optimal CFA design on system performance decreases. This hypothesis is supported with the experimental results. Such a finding would herald the possibility of relaxing CFA requirements, providing more freedom in the CFA design choice and producing high-quality cameras.},
  articleno    = {3215},
  author       = {Stojkovic, Ana and Shopovska, Ivana and Luong, Hiep and Aelterman, Jan and Jovanov, Ljubomir and Philips, Wilfried},
  issn         = {1424-8220},
  journal      = {SENSORS},
  keywords     = {demosaicing,debayering,color filter array,image interpolation,image reconstruction},
  language     = {eng},
  number       = {14},
  pages        = {16},
  publisher    = {Multidisciplinary Digital Publishing Institute},
  title        = {The effect of the color filter array layout choice on state-of-the-art demosaicing},
  url          = {http://dx.doi.org/10.3390/s19143215},
  volume       = {19},
  year         = {2019},
}

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