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Open AccessArticle

Weights-Based Image Demosaicking Using Posteriori Gradients and the Correlation of R–B Channels in High Frequency

School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China
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Symmetry 2019, 11(5), 600; https://doi.org/10.3390/sym11050600
Received: 26 March 2019 / Revised: 20 April 2019 / Accepted: 23 April 2019 / Published: 26 April 2019
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Abstract

In this paper, we propose a weights-based image demosaicking algorithm which is based on the Bayer pattern color filter array (CFA). When reconstructing the missing G components, the proposed algorithm uses weights based on posteriori gradients to mitigate color artifacts and distortions. Furthermore, the proposed algorithm makes full use of the correlation of R–B channels in high frequency when interpolating R/B values at B/R positions. Experimental results show that the proposed algorithm is superior to previous similar algorithms in composite peak signal-to-noise ratio (CPSNR) and subjective visual effect. The biggest advantage of the proposed algorithm is the use of posteriori gradients and the correlation of R–B channels in high frequency. View Full-Text
Keywords: image demosaicking; color filter array (CFA); Bayer pattern; weights-based; posteriori gradients; color correlation image demosaicking; color filter array (CFA); Bayer pattern; weights-based; posteriori gradients; color correlation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Xia, M.; Wang, C.; Ge, W. Weights-Based Image Demosaicking Using Posteriori Gradients and the Correlation of R–B Channels in High Frequency. Symmetry 2019, 11, 600.

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