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Symmetry 2018, 10(6), 222; https://doi.org/10.3390/sym10060222

Bayer Image Demosaicking Using Eight-Directional Weights Based on the Gradient of Color Difference

School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 264209, China
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Received: 17 May 2018 / Revised: 8 June 2018 / Accepted: 11 June 2018 / Published: 14 June 2018
(This article belongs to the Special Issue Symmetry in Computing Theory and Application)
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Abstract

In this paper, we propose a new demosaicking algorithm which uses eight-directional weights based on the gradient of color difference (EWGCD) for Bayer image demosaicking. To obtain the interpolation of green (G) pixels, the eight-directional G pixel values are first estimated in red (R)/blue (B) pixels. This estimate is used to calculate the color difference in R/B pixels of the Bayer image in diagonal directions. However, in horizontal and vertical directions, the new estimated G pixels are defined to obtain the color difference. The eight-directional weights of estimated G pixels can be obtained by considering the gradient of the color difference and the gradient of the RGB pixels of the Bayer image. Therefore, the eight-directional weighted values and the first estimated G pixel values are combined to obtain the full G image. Compared with six similar algorithms using the same eighteen McMaster images, the results of the experiment demonstrate that the proposed algorithm has a better performance not only in the subjective visual measurement but also in the assessments of peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) index measurement. View Full-Text
Keywords: image demosaicking; gradient of color difference; eight-directional weights; minimum Laplacian energy image demosaicking; gradient of color difference; eight-directional weights; minimum Laplacian energy
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Liu, Y.; Wang, C.; Zhao, H.; Song, J.; Chen, S. Bayer Image Demosaicking Using Eight-Directional Weights Based on the Gradient of Color Difference. Symmetry 2018, 10, 222.

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