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적외선 영상장비의 검출기출력 불균일 보정과 영상대조비개선 원문보기
Image contrast enhancement and Non-Uniformity correction of detector for thermal imaging system

  • 저자

    정한수

  • 학위수여기관

    慶北大學校 大學院

  • 학위구분

    국내석사

  • 학과

    전자공학과 영상신호처리전공

  • 지도교수

  • 발행년도

    2004

  • 총페이지

    v, 63p.

  • 키워드

    적외선 영상장비 검출기출력 불균일 보정;

  • 언어

    kor

  • 원문 URL

    http://www.riss.kr/link?id=T10045537&outLink=K  

  • 초록

    Thermal Imaging System (TIS) can extend our vision beyond the red into the far infrared by making visible the light naturally emitted by warm objects. The performance of TIS in comparison to other types of passive sensing electro-optical imaging methods is superior. The use in the military has been heavily applied especially in the 3-5 & 8-12㎛ wavelength detection ranges which is regularly referred to as the middle and long detection ranges. However, the use of the TIS infrared imagery cannot be used in its natural-raw state due to excess signal noise. Too much "noise" creates an image with of poor resolution. Also the TIS image in its raw state also has an inherently low contrast image due to a narrow dynamic range. To overcome this raw state image problems, the use of two algorithms compensated by the Non-Uniformity Correction (NUC) for IR detector outputs and Image Contrast Enhancement (ICE) for the IR imagery. The proposed two algorithms exhibit excellent performance with regard to the IR image improvement of the TIS. We implemented a thermal imaging system using the TMS320C80 MVP (Multimedia Video Processor) as the main processor and its apparatus. The digital imaging processing circuit corrected the pixel non-uniformities and low contrast of the IR image in real time. We created the real thermal image system and examined it. Experiments were performed to verify the effect of the NUC and the ICE algorithms on the resolution targets; a human target and a parking lot target respectively. The results of experiments for the NUC and the ICE were sufficient enough to conclude that the algorithms were effective in correcting the thermal image for both the inside targets and outside scenes. In conclusion, the proposed NUC and ICE algorithms realized in the real system that these can be applied as good methods for improving the image quality of the thermal imaging system.


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