DocumentCode
1431948
Title
Least-Squares Luma–Chroma Demultiplexing Algorithm for Bayer Demosaicking
Author
Leung, Brian ; Jeon, Gwanggil ; Dubois, Eric
Author_Institution
Inst. of Biomater. & Biomed. Eng., Univ. of Toronto, Toronto, ON, Canada
Volume
20
Issue
7
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
1885
Lastpage
1894
Abstract
This paper addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing algorithm is presented in detail, using a least-squares design methodology for the required bandpass filters. A systematic study of objective demosaicking performance and system complexity is carried out, and several system configurations are recommended. The method is compared with other benchmark algorithms in terms of CPSNR and S-CIELAB ΔE* objective quality measures and demosaicking speed. It was found to provide excellent performance and the best quality-speed tradeoff among the methods studied.
Keywords
image colour analysis; image segmentation; least squares approximations; optical filters; Bayer color filter array; Bayer demosaicking; bandpass filters; least-squares luma-chroma demultiplexing algorithm; missing color components; Algorithm design and analysis; Computational complexity; Demultiplexing; Frequency modulation; Image color analysis; Pixel; Training; Bayer sampling; color demosaicking; color filter array (CFA);
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2011.2107524
Filename
5696756
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