DocumentCode :
2829813
Title :
Correlation-based joint acquisition and demosaicing of visible and near-infrared images
Author :
Sadeghipoor, Zahra ; Lu, Yue M. ; Süsstrunk, Sabine
Author_Institution :
Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
3165
Lastpage :
3168
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 arrays (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 demo-saiced 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.
Keywords :
correlation methods; filtering theory; image colour analysis; image recognition; image segmentation; infrared imaging; matrix algebra; NIR image; NIR-visible correlation; color filter array; correlation-based joint acquisition; demosaicing matrices; near-infrared image demosaicing; optimum CFA algorithm; signal-to-noise ratio; single sensor; visible image demosaicing; visual quality; Algorithm design and analysis; Correlation; Image color analysis; Joints; Optimization; PSNR; Joint demosaicing; color filter array (CFA); correlation; near-infrared (NIR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116339
Filename :
6116339
Link To Document :
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