Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach. Fang, L., Au, O. C., Chen, Y., Katsaggelos, A. K., Wang, H., & Wen, X. IEEE Transactions on Multimedia, 14(4):1359–1369, aug, 2012. Paper doi abstract bibtex A portable device such as a digital camera with a single sensor and Bayer color filter array (CFA) requires demosaicing to reconstruct a full color image. To display a high resolution image on a low resolution LCD screen of the portable device, it must be down-sampled. The two steps, demosaicing and down-sampling, influence each other. On one hand, the color artifacts introduced in demosaicing may be magnified when followed by down-sampling; on the other hand, the detail removed in the down-sampling cannot be recovered in the demosaicing. Therefore, it is very important to consider simultaneous demosaicing and down-sampling. In this paper, we propose a fast frequency-domain analysis approach for joint demosaicing and subpixel-based down-sampling (FFA-JDSD) of single sensor Bayer images. In FFA-JDSD, we integrate demosaicing into down-sampling by directly performing subpixel- based down-sampling in the Bayer domain, due to which the computational complexity is significantly reduced. We use a frequency domain analysis tool to show that the cut-off frequency of the low-pass filter for JDSD can be effectively extended beyond the Nyquist frequency, resulting in much sharper down-sampled images. Experimental results show that, compared with the methods that separately perform demosaicing and down-sampling, FFAJDSD has much less computational complexity, and can produce much sharper results at the expense of slight color fringing artifact. © 2012 IEEE.
@article{Lu2012,
abstract = {A portable device such as a digital camera with a single sensor and Bayer color filter array (CFA) requires demosaicing to reconstruct a full color image. To display a high resolution image on a low resolution LCD screen of the portable device, it must be down-sampled. The two steps, demosaicing and down-sampling, influence each other. On one hand, the color artifacts introduced in demosaicing may be magnified when followed by down-sampling; on the other hand, the detail removed in the down-sampling cannot be recovered in the demosaicing. Therefore, it is very important to consider simultaneous demosaicing and down-sampling. In this paper, we propose a fast frequency-domain analysis approach for joint demosaicing and subpixel-based down-sampling (FFA-JDSD) of single sensor Bayer images. In FFA-JDSD, we integrate demosaicing into down-sampling by directly performing subpixel- based down-sampling in the Bayer domain, due to which the computational complexity is significantly reduced. We use a frequency domain analysis tool to show that the cut-off frequency of the low-pass filter for JDSD can be effectively extended beyond the Nyquist frequency, resulting in much sharper down-sampled images. Experimental results show that, compared with the methods that separately perform demosaicing and down-sampling, FFAJDSD has much less computational complexity, and can produce much sharper results at the expense of slight color fringing artifact. {\textcopyright} 2012 IEEE.},
author = {Fang, Lu and Au, Oscar C. and Chen, Yan and Katsaggelos, Aggelos K. and Wang, Hanli and Wen, Xing},
doi = {10.1109/TMM.2012.2191269},
issn = {1520-9210},
journal = {IEEE Transactions on Multimedia},
keywords = {Demosaicking,down-sampling,subpixel rendering},
month = {aug},
number = {4},
pages = {1359--1369},
title = {{Joint Demosaicing and Subpixel-Based Down-Sampling for Bayer Images: A Fast Frequency-Domain Analysis Approach}},
url = {http://ieeexplore.ieee.org/document/6171859/},
volume = {14},
year = {2012}
}
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In this paper, we propose a fast frequency-domain analysis approach for joint demosaicing and subpixel-based down-sampling (FFA-JDSD) of single sensor Bayer images. In FFA-JDSD, we integrate demosaicing into down-sampling by directly performing subpixel- based down-sampling in the Bayer domain, due to which the computational complexity is significantly reduced. We use a frequency domain analysis tool to show that the cut-off frequency of the low-pass filter for JDSD can be effectively extended beyond the Nyquist frequency, resulting in much sharper down-sampled images. 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