Correlation-Based joint acquisition and demosaicing of visible and near-infrared images

Citation:

Z. Sadeghipoor, Y. M. Lu, and S. Susstrunk, “Correlation-Based joint acquisition and demosaicing of visible and near-infrared images,” in Proc. IEEE International Conference on Image Processing, Brussels, 2011.
visnir_icip11.pdf676 KB

Date Presented:

Sep.

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.

Last updated on 01/02/2012