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

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Performance Improvement Technique of Long-range Target Information Acquisition for Airborne IR Camera

  • Received : 2017.05.25
  • Accepted : 2017.07.11
  • Published : 2017.07.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose three compensation methods to solve problems in high-resolution airborne infrared camera and to improve long-range target information acquisition performance. First, image motion and temporal noise reduction technique which is caused by atmospheric turbulence. Second, thermal blurring image correction technique by imperfect performance of NUC(Non Uniformity Correction) or raising the internal temperature of the camera. Finally, DRC(Dynamic Range Compression) and flicker removing technique of 14bits HDR(High Dynamic Range) infrared image. Through this study, we designed techniques to improve the acquisition performance of long-range target information of high-resolution airborne infrared camera, and compared and analyzed the performance improvement result with implemented images.

Keywords

References

  1. D. L. Perry and E. L. Dereniak, “Linear theory of nonuniformity correction in infrared staring sensors,” Optical Engineering, Vol. 32, No. 8, pp. 1854-1859, August 1993. https://doi.org/10.1117/12.145601
  2. W. Gross, T. Hierl, and M. Schulz, “Correctability and long-term stability of infrared focal plane arrays,” Optical Engineering, Vol. 38, No. 5, pp. 862-869, May 1999 https://doi.org/10.1117/1.602055
  3. L. Shkedy et al., “Megapixel digital InSb detector for midwave infrared imaging,” Optical Engineering, Vol. 50, No. 6, 061008, June 2011. https://doi.org/10.1117/1.3572163
  4. J. Kim et al., “Regularization approach to scene-based nonuniformity correction,” Optical Engineering, Vol. 53, No. 3, 053105, May 2014. https://doi.org/10.1117/1.OE.53.5.053105
  5. C. Zhang and W. Zhao, “Scene-based nonuniformity correction using local constant statistics,” JOSA A, Vol. 25, No. 6, pp.1444-1453, June 2008. https://doi.org/10.1364/JOSAA.25.001444
  6. D. Lee, H. Yang, “Adaptive Histogram Projection and Detail Enhancement for the Visualization of High Dynamic Range Infrared Images,” Journal of The Korea Society of Computer and Information, Vol. 21, No.11, pp. 23-30, November 2016. https://doi.org/10.9708/JKSCI.2016.21.11.023
  7. N. Liu, D. Zhao, “Detail enhancement for high-dynamic-range infrared images based on guided image filter,” Infrared Physics & Technology, Vol. 67, pp. 138-147, July 2014. https://doi.org/10.1016/j.infrared.2014.07.013
  8. F. Garcia, C. Schockaert, and B. Mirbach, “Real-Time Visualization of High-Dynamic-Range Infrared Images based on Human Perception Characteristics,” International Conference on Computer Vision Theory and Applications, March 2015.
  9. F. Garcia, C. Schockaert, and B. Mirbach, “Noise Removal and Real-Time Detail Enhancement of High-Dynamic-Range Infrared Images with Time Consistency,” International Conference on Quality Control by Artificial Vision, June 2015.
  10. LogiCORE IP Motion Adaptive Noise Reduction v6.1 Product Guide, http://www.xilinx.com
  11. K. He, J. Sun, and X. Tang, "Single Image Haze Removal Using Dark channel Prior," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 12, December 2011.
  12. Y. Shiau et al., "Hardware Implementation of a Fast and Efficient Haze Removal Method," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 23, No. 8, August 2013.
  13. K. He, J. Sun, and X. Tang, "Guided Image Filtering," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 6, June 2013.
  14. C. Tomasi, R. Manduchi, "Bilateral Filtering for Gray and Color Images," IEEE International Conference on Computer Vision, pp. 839-846, January 1998.
  15. C. Zuo et al., "Display and detail enhancement for high-dynamic-range infrared images," Optical Engineering, Vol. 50, No. 12, 127401, November 2011. https://doi.org/10.1117/1.3659698