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Author Qidwai, Uvaisen_US
Available date 2009-12-29T05:41:33Zen_US
Publication Date 2008-06-24en_US
Publication Name IEEE Transactions on Image Processing
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. 2008en_US
URI http://dx.doi.org/10.1109/TIP.2008.925377en_US
URI http://hdl.handle.net/10576/10541en_US
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 enen_US
Publisher IEEEen
Subject image enhancementen_US
Subject image modelingen_US
Subject infrared (IR) imageen_US
Subject processingen_US
Title Infrared Image Enhancement using H{infinity} Bounds for Surveillance Applicationsen_US
Type Articleen_US


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