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Proceedings Paper

Demosaicking algorithm for the Kodak-RGBW color filter array
Author(s): M. Rafinazari; E. Dubois
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Paper Abstract

Digital cameras capture images through different Color Filter Arrays and then reconstruct the full color image. Each CFA pixel only captures one primary color component; the other primary components will be estimated using information from neighboring pixels. During the demosaicking algorithm, the two unknown color components will be estimated at each pixel location. Most of the demosaicking algorithms use the RGB Bayer CFA pattern with Red, Green and Blue filters. The least-Squares Luma-Chroma demultiplexing method is a state of the art demosaicking method for the Bayer CFA. In this paper we develop a new demosaicking algorithm using the Kodak-RGBW CFA. This particular CFA reduces noise and improves the quality of the reconstructed images by adding white pixels. We have applied non-adaptive and adaptive demosaicking method using the Kodak-RGBW CFA on the standard Kodak image dataset and the results have been compared with previous work.

Paper Details

Date Published: 8 February 2015
PDF: 6 pages
Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939503 (8 February 2015); doi: 10.1117/12.2083667
Show Author Affiliations
M. Rafinazari, Univ. of Ottawa (Canada)
E. Dubois, Univ. of Ottawa (Canada)

Published in SPIE Proceedings Vol. 9395:
Color Imaging XX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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