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Proceedings Paper

Performance evaluation of image enhancement techniques on a digital image-intensifier
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Paper Abstract

Recently new techniques for night-vision cameras are developed. Digital image-intensifiers are becoming available on the market. Also, so-called EMCCD cameras are developed, which may even be able to record color information about the scene. However, in low-light situations all night-vision imagery becomes noisy. In this paper we evaluate the performance of image enhancement techniques for one type of noisy night imagery, that is a digital image-intensifier. The image enhancement techniques tested are noise reduction, super-resolution reconstruction and local adaptive contrast enhancement. The results show that image enhancement techniques improve the usage of image-intensifiers in low-light conditions. The largest improvement is found for super-resolution reconstruction applied at the smallest objects. This indicates that part of the improvement is obtained by resolution enhancement. Applying LACE does not change the performance, indicating that in this setup LACE performs equal to the automatic gain control of the image-intensifier.

Paper Details

Date Published: 22 April 2009
PDF: 12 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000F (22 April 2009); doi: 10.1117/12.820002
Show Author Affiliations
Judith Dijk, TNO Defence, Security and Safety (Netherlands)
Piet Bijl, TNO Defence, Security and Safety (Netherlands)
Henri Bouma, TNO Defence, Security and Safety (Netherlands)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

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