Infrared Image Enhancement using H{infinity} Bounds for Surveillance Applications

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contributor.author Qidwai, Uvais en_US
date.accessioned 2009-12-29T05:41:33Z en_US
date.available 2009-12-29T05:41:33Z en_US
date.issued 2008-06-24 en_US
identifier.citation Qidwai, U., "Infrared Image Enhancement using H{infinity} Bounds for Surveillance Applications," Image Processing, IEEE Transactions on , vol.17, no.8, pp.1274-1282, Aug. 2008 en_US
identifier.uri http://dx.doi.org/10.1109/TIP.2008.925377 en_US
identifier.uri http://hdl.handle.net/10576/10541 en_US
description.abstract In this paper, two algorithms have been presented to enhance the infrared (IR) images. Using the autoregressive moving average model structure and Hinfin optimal bounds, the image pixels are mapped from the IR pixel space into normal optical image space, thus enhancing the IR image for improved visual quality. Although Hinfin-based system identification algorithms are very common now, they are not quite suitable for real-time applications owing to their complexity. However, many variants of such algorithms are possible that can overcome this constraint. Two such algorithms have been developed and implemented in this paper. Theoretical and algorithmic results show remarkable enhancement in the acquired images. This will help in enhancing the visual quality of IR images for surveillance applications. en_US
language.iso en en_US
publisher IEEE en
subject image enhancement en_US
subject image modeling en_US
subject infrared (IR) image en_US
subject processing en_US
title Infrared Image Enhancement using H{infinity} Bounds for Surveillance Applications en_US
type Article en_US


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