| Classified Image Enhancement of IRST Based on Loaded Location in Ship and AOS |
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Tae-Su Kim |
| 함정 탑재 위치 및 AOS에 기반한 적외선탐지추적 장비의 영역별 영상 향상 |
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김태수 |
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국방과학연구소 |
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| Abstract |
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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. |
| Key Words:
IRST, AOS, FOV, Image Enhancement, Image Segmentation, Visibility |
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