Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Dead Pixel Detection Method by Different Response at Hot & Cold Images for Infrared Camera

  • Ye, Seong-Eun (Electro-Optronics 2Team, Hanwha Systems Company) ;
  • Kim, Bo-Mee (Electro-Optronics 2Team, Hanwha Systems Company)
  • Received : 2018.11.01
  • Accepted : 2018.11.22
  • Published : 2018.11.30
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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.

Keywords

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Fig. 1. Output characteristic of the Thermal detector

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Fig. 2. Function flowing of proposing method

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Fig. 3. 5X5 matrix around soft dead

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Fig. 4. Gain of each two pixels

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Fig. 5. Example of detection a dead pixel

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Fig. 6. Gain of a soft dead pixel with normal pixels

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Fig. 7. Soft dead on image after CEM

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Fig. 8. Detail of a soft dead pixel

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Fig. 9. Gain of average around a soft dead pixel

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Fig. 10. The Result a pixel of addition process

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Fig. 11. The Result image of addition process

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Fig. 12. Origin process dead detection

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Fig. 13. Addition processing dead detection

Table 1. Result of dead detection each process

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