Demosaicing images in low lighting environments

Chiman Kwan; Jude Larkin; Bence Budavari

doi:10.1117/12.2557820

22 April 2020 Demosaicing images in low lighting environments

Chiman Kwan, Jude Larkin, Bence Budavari

Proceedings Volume 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX; 1142316 (2020) https://doi.org/10.1117/12.2557820
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

It is commonly believed that having more white pixels in a color filter array (CFA) will help the demosaicing performance for images collected in low lighting conditions. We present a comparative study to evaluate the performance of demosaicing for images collected in realistic low lighting conditions using two CFAs: the standard Bayer pattern (aka CFA 1.0) and the Kodak CFA 2.0 (RGBW pattern with 50% white pixels). Using a data set containing 10 images collected in low lighting conditions, we observe that having more white pixels does help the demosaicing performance. However, some cautions are needed in quantifying the performance.

Citation Download Citation

Chiman Kwan, Jude Larkin, and Bence Budavari "Demosaicing images in low lighting environments", Proc. SPIE 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 1142316 (22 April 2020); https://doi.org/10.1117/12.2557820

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