Volume 14 Number 5 (May. 2019)
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JCP 2019 Vol.14(5): 318-327 ISSN: 1796-203X
doi: 10.17706/jcp.14.5.318-327

Simultaneous CFA Demosaicking of Three Color Planes for Improved Color Accuracy

Omar Shakar, Jim S. Jimmy Li, Sharmil Randhawa
College of Science and Engineering, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia.
Abstract—Color Filter Array (CFA) demosaicking is an interpolation process of reconstructing a full color image from a single image sensor. Conventionally, color planes are demosaicked sequentially. The green color plane is usually demosaicked first due to the fact that it contains twice the information of the other color planes for the Bayer pattern, and then followed by the demosaicking of red and blue color planes. However, this sequential process of demosaicking will produce color artifacts which cannot be recognized until all the color planes have been demosaicked. In our paper, we propose a novel technique to demosaic the three color planes simultaneously so as to avoid the selection of artifact pixels. Based on the interpolation in different directions to estimate a full color pixel for edge preservation, multiple combinations of RGB color values for a pixel location are generated. Among those RGB combinations, some are good estimates while others are color artifacts. Using the color–line property to discriminate those color artifact pixels, an optimum RGB color value from those good estimates will be selected. It has been shown that our proposed algorithm outperforms the other benchmarking algorithms and produces minimal color artifacts. The experimental results have shown consistency in performance in both perceptual and objective evaluation for various types of image datasets.

Index Terms—Simultaneous CFA demosaicking, color artifacts, color–line property, image segmentation.

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Cite: Omar Shakar, Jim S. Jimmy Li, Sharmil Randhawa, "Simultaneous CFA Demosaicking of Three Color Planes for Improved Color Accuracy," Journal of Computers vol. 14, no. 5, pp. 318-327, 2019.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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