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Classified Image Enhancement of IRST Based on Loaded Location in Ship and AOS  

Kim, Tae-Su (ADD)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.10, no.3, 2007 , pp. 25-33 More about this Journal
Abstract
In this paper, I propose a method which can enhance the visual quality of IRST images based on a loaded location in ship and an AOS. The IRST adjusts an AOS to detect targets with various altitudes because of its narrow vertical field of view and offers various functions to enhance images with its low contrast. In the proposed method, images are divided into two regions of sea and sky on the basis of the horizon after establishing relation between an AOS and a horizon location within an image. As a result, image enhancement of the proposed method is performed adaptively according to the divided region while that of conventional method is performed for entire image without the region division. Simulation results show that the proposed method represents higher visibility compared with conventional one.
Keywords
IRST; AOS; FOV; Image Enhancement; Image Segmentation; Visibility;
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