Paper
8 February 2015 Demosaicking algorithm for the Kodak-RGBW color filter array
M. Rafinazari, E. Dubois
Author Affiliations +
Proceedings Volume 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications; 939503 (2015) https://doi.org/10.1117/12.2083667
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Rafinazari and E. Dubois "Demosaicking algorithm for the Kodak-RGBW color filter array", Proc. SPIE 9395, Color Imaging XX: Displaying, Processing, Hardcopy, and Applications, 939503 (8 February 2015); https://doi.org/10.1117/12.2083667
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical filters

Reconstruction algorithms

Algorithm development

RGB color model

Digital cameras

Denoising

Cameras

Back to Top