Sadeghipoor Kermani, ZahraLu, YueSüsstrunk, Sabine2011-09-212011-09-212011-09-21201110.1109/ICIP.2011.6116339https://infoscience.epfl.ch/handle/20.500.14299/71018WOS:000298962503075Joint 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.enJoint demosaicingnear-infrared (NIR)color filter array (CFA)correlationCorrelation-based Joint Acquisition and Demosaicing of Visible and Near-Infrared Imagestext::conference output::conference proceedings::conference paper