Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images

Details Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images Evaluation of sharpness measures and search algorithms for the auto focusing of high-magnification images

Jun 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6246e..14y&link_type=abstract

Visual Information Processing XV. Edited by Rahman, Zia-ur; Reichenbach, Stephen E.; Neifeld, Mark A.. Proceedings of the SPIE,

Computer Science

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Scientific paper

Digital imaging systems with extreme zoom capabilities are traditionally found in astronomy and wild life monitoring. More recently, the need for such capabilities has extended to long range surveillance and wide area monitoring such as forest fires, airport perimeters, harbors, and waterways. Auto-focusing is an indispensable function for imaging systems designed for such applications. This paper studies the feasibility of an image based passive auto-focusing control for high magnification systems based on off-the-shelf telescopes and digital cameras/camcorders, with concentration on two associated elements: the cost function (usually the image sharpness measure) and the search strategy. An extensive review of existing sharpness measures and search algorithms is conducted and their performances compared. In addition, their applicability and adaptability to a wide range of high magnifications (50×~1500×) are addressed. This study builds up the foundation for the development of auto-focusing schemes with particular applications to high magnification systems.

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