Correlation-based Joint Acquisition and Demosaicing of Visible and Near-Infrared Images

Joint processing of visible (RGB) and near-infrared (NIR) images has recently found some appealing applications, which make joint capturing a pair of visible and NIR images an important problem. In this paper, we propose a new method to design color filter arrays (CFA) and demosaicing matrices for acquiring NIR and visible images using a single sensor. The proposed method modifies the optimum CFA algorithm proposed by Lu and Vetterli at 2009 by taking advantage of the NIR/visible correlation in the design process. Simulation results show that by applying the proposed method, the quality of demosaiced NIR and visible images is increased by about 1 dB in peak signal-to-noise ratio over the results of the optimum CFA algorithm. It is also shown that better visual quality can be obtained by using the proposed algorithm.

Published in:
IEEE International Conference on Image Processing (ICIP)
Presented at:
IEEE International Conference on Image Processing, Brussels, Belgium, September 11-15, 2011
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

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 Record created 2011-09-21, last modified 2020-10-25

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