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- W2943710275 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." @default.
- W2943710275 created "2019-05-09" @default.
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- W2943710275 date "2019-04-26" @default.
- W2943710275 modified "2023-10-16" @default.
- W2943710275 title "Weights-Based Image Demosaicking Using Posteriori Gradients and the Correlation of R–B Channels in High Frequency" @default.
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- W2943710275 doi "https://doi.org/10.3390/sym11050600" @default.
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