@conference {70801,
	title = {A novel compressive sensing approach to simultaneously acquire color and near-infrared images on a single sensor},
	booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	abstract = {Sensors of most digital cameras are made of silicon that is inherently\&nbsp;sensitive to both the visible and near-infrared parts of the electromagnetic\&nbsp;spectrum. In this paper, we address the problem of color\&nbsp;and NIR joint acquisition. We propose a framework for the joint\&nbsp;acquisition that uses only a single silicon sensor and a slightly modified\&nbsp;version of the Bayer color-filter array that is already mounted\&nbsp;in most color cameras. Implementing such a design for an RGB and\&nbsp;NIR joint acquisition system requires minor changes to the hardware\&nbsp;of commercial color cameras.\&nbsp;One of the important differences between this design and the\&nbsp;conventional color camera is the post-processing applied to the captured\&nbsp;values to reconstruct full resolution images. By using a CFA\&nbsp;similar to Bayer, the sensor records a mixture of NIR and one color\&nbsp;channel in each pixel. In this case, separating NIR and color channels\&nbsp;in different pixels is equivalent to solving an under-determined\&nbsp;system of linear equations. To solve this problem, we propose a\&nbsp;novel algorithm that uses the tools developed in the field of compressive\&nbsp;sensing. Our method results in high-quality RGB and NIR\&nbsp;images (the average PSNR of more than 30 dB for the reconstructed\&nbsp;images) and shows a promising path towards RGB and NIR cameras.\&nbsp;},
	author = {Zahra Sadeghipoor and Yue M. Lu and Sabine Susstrunk}
}
