@conference {27273,
	title = {Correlation-Based joint acquisition and demosaicing of visible and near-infrared images},
	booktitle = {Proc. IEEE International Conference on Image Processing},
	year = {2011},
	month = {Sep.},
	address = {Brussels},
	abstract = {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 ar- rays (CFA) and demosaicing matrices for acquiring NIR and visible images using a single sensor. The proposed method modifies the optimum CFA algorithm proposed in [1] 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.
},
	author = {Z. Sadeghipoor and Lu, Y.M. and S. Susstrunk}
}
