적외선 카메라에서 두 온도의 영상 반응도 차이를 통한 불량화소 검출 기법
Dead Pixel Detection Method by Different Response at Hot & Cold Images for Infrared Camera
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초록
In this paper, we propose soft dead pixels detection method by analysing different response at hot and cold images. Abnormal pixels are able to effect detecting a small target. It also makes confusing real target or not cause of changing target size. Almost exist abnormal pixels after image signal processing even if dead pixels are removed by dead pixel compensation are called soft dead pixels. They are showed defect in final image. So removing or compensating dead pixels are very important for detecting object. The key idea of this proposed method, detecting dead pixels, is that most of soft deads have different response characteristics between hot image and cold image. General infrared cameras do NUC to remove FPN. Working 2-reference NUC must be needed getting data, hot & cold images. The way which is proposed dead pixel detection is that we compare response, NUC gain, at each pixel about two different temperature images and find out dead pixels if the pixels exceed threshold about average gain of around pixels.
Abstract
In this paper, we propose soft dead pixels detection method by analysing different response at hot and cold images. Abnormal pixels are able to effect detecting a small target. It also makes confusing real target or not cause of changing target size. Almost exist abnormal pixels after image signal processing even if dead pixels are removed by dead pixel compensation are called soft dead pixels. They are showed defect in final image. So removing or compensating dead pixels are very important for detecting object. The key idea of this proposed method, detecting dead pixels, is that most of soft deads have different response characteristics between hot image and cold image. General infrared cameras do NUC to remove FPN. Working 2-reference NUC must be needed getting data, hot & cold images. The way which is proposed dead pixel detection is that we compare response, NUC gain, at each pixel about two different temperature images and find out dead pixels if the pixels exceed threshold about average gain of around pixels.
참고문헌 (12)
- Sanghyuck Han, "Linear Interpolation Based Dynamic NUC Coefficient Estimating Technique on TEC-LESS Uncooled IR System", Journal of Korean Society for Aeronautical and Space Sciences Conference, pp.1129~1132 (2012)
- Ho Hyun Shin, "A Design of CMOS ROIC with Reduced Fixed Pattern Noise for Infrared Image Sensor Applications", Proceeding of Korean Institute of Electrical Engineers, pp.16~17 (2006)
- Euncheol Choi, "Nonuniformity Correction Algorithm of Infrared Images Considering Readout Circuit Architecture", Proceeding of Korean Institute of Electrical Engineers, pp.429~430 (2007)
- C. Zuo, "Scene-based nonuniformity correction algorithm based on interframe registration", J. Opt. Soc. Am. A, 28, pp.1164~1176 (2011)
- Meng Sheng, "Calibration -based NUC Method in Real time Based on IRFPA", ELSEVIER 2011 International Conference on Physics Science and Technology, 22, pp.372~380 (2011)
- S. Tzimopoulou., "Scene based techniques for nonuniformity correction of infrared focal plane arrays", Proceedings of SPIE, 3436, pp.172~183 (1998)
- M. Voig, "Scene-Based Non-Uniformity Correction for Focal Plane Arrays using a Facet Model, Infrared Imaging Systems: Design, Analysis, Modelling and Testing XVI", Proc. SPIE, 5784, pp.331~342 (2002)
- 신정호, "온도변화에 의한 비선형 특성을 가진 열상 검출기 영상보정기법", 한국컴퓨터정보학회논문지, 22(10), pp.19~26 (2017), 한국컴퓨터정보학회[DOI]
- Lee, Je il, "Nonuniformity Correction Algorithm and First Implementation for Infrared Camera Including the Background Effect due to Camera Temperature Variation", Sae Mulli, 11, pp.269~274 (2000)
- J. Harris, "Nonuniformity correction using the constant-statics constraint: Analog and Digital Implementations", Proceedings of SPIE, 3061, pp.895~905 (1997)
- S. Tzimopoulou, "Scene based techniques for nonuniformity correction of infrared focal plane arrays", Proceedings of SPIE, 3436, pp.172~183 (1998)
- 문길수, "Spatial Compare Filter Based Real-Time dead Pixel Correction Method for Infrared Camera", 한국컴퓨터정보학회논문지, 21(12), pp.35~41 (2016), 한국컴퓨터정보학회
