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The Effect of the Color Filter Array Layout Choice on State-of-the-Art Demosaicing

TELIN-IPI, Ghent University—imec, 9000 Ghent, Belgium
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Sensors 2019, 19(14), 3215;
Received: 20 June 2019 / Revised: 18 July 2019 / Accepted: 18 July 2019 / Published: 21 July 2019
(This article belongs to the Special Issue Sensor Signal and Information Processing II)
PDF [2839 KB, uploaded 21 July 2019]


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. View Full-Text
Keywords: demosaicing; debayering; color filter array; image interpolation; image reconstruction demosaicing; debayering; color filter array; image interpolation; image reconstruction

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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 2019, 19, 3215.

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