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Proceedings Paper

Feature-enhanced computational infrared imaging
Author(s): Alper Güngör; H. Emre Güven
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Paper Abstract

Super-resolution for infrared imaging is motivated by the high cost and practical limitations of obtaining large focal plane arrays. Methods in the literature require the optical system to be modified. Here, we propose a compressive sensing based method for super-resolution using the inherent point spread function of the camera. The proposed method produces high resolution images and is robust against missing pixels. We then compare our method to other super-resolution methods in the literature and show that our method performs well for practical usage without any modification to the optical system.

Paper Details

Date Published: 1 May 2017
PDF: 8 pages
Proc. SPIE 10222, Computational Imaging II, 1022204 (1 May 2017); doi: 10.1117/12.2262727
Show Author Affiliations
Alper Güngör, ASELSAN Research Ctr. (Turkey)
H. Emre Güven, ASELSAN Research Ctr. (Turkey)


Published in SPIE Proceedings Vol. 10222:
Computational Imaging II
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli; Kenneth S. Kubala, Editor(s)

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