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IR Image Processing IP Design, Implementation and Verification For SoC Design

  • Yoon, Hee-Jin (Electro-Optronics 2Team, Hanwha Systems Company)
  • Received : 2017.11.28
  • Accepted : 2018.01.02
  • Published : 2018.01.31

Abstract

In this paper, We studied the possibility of SoC(System On Chip) design using infrared image processing IP(Intellectual Property). And, we studied NUC(Non Uniformity Correction), BPR(Bad Pixel Recovery), and CEM(Contrast Enhancement) processing, the infrared image processing algorithm implemented by IP. We showed the logic and timing diagram implemented through the hardware block designed based on each algorithm. Each algorithm was coded as RTL(Register Transfer Level) using Verilog HDL(Hardware Description Language), ALTERA QUARTUS synthesis, and programed in FPGA(Field Programmable Gated Array). In addition, we have verified that the image data is processed at each algorithm without any problems by integrating the infrared image processing algorithm. Particularly, using the directly manufactured electronic board, Processor, SRAM, and FLASH are interconnected and tested and the verification result is presented so that the SoC type can be realized later. The infrared image processing IP proposed and verified in this study is expected to be of high value in the future SoC semiconductor fabrication. In addition, we have laid the basis for future application in the camera SoC industry.

Keywords

References

  1. Hong, Seok-Min "Advanced LWIR Thermal Imaging Sight Design", Korean Journal of Optics and Photonics" Vol.16, No. 3, pp. 209-216, JAN. 2005 https://doi.org/10.3807/KJOP.2005.16.3.209
  2. Song, Cheon-ho "Applying tilt mechanism for high-resolution image acquisition," Journal of The Korea Society of Computer and Information, Vol.19, No.12 pp.31-37, Dec. 2014 https://doi.org/10.9708/jksci.2014.19.12.031
  3. Michael C. Dudzik, "The Infrared & Electro-Optical Systems Handbook VOLUME 4 Electro-Optical Systems Design, Analysis, and Testing," SPIE OPTICAL ENGINEERING PRES, 1993.
  4. David H. Pollock, "The Infrared & Electro-Optical Systems Handbook VOLUME 7 Countermeasure Systems," SPIE OPTICAL ENGINEERING PRES, 1993.
  5. Ronald G. Driggers, Paul Cox, Timothy Edwards, "Introduction to Infrared and Electro-Optical Systems," ARTECH HOUSE, INC. 1999.
  6. Korea Institute of Science and Technology Information "Image Sensor(CCD,CMOS)," pp.21. Dec. 2017.
  7. Yong-Tek Jung "Latest Technology Trend of Inrared Sensor", Hongrung Publishing Company, 2014.
  8. Korea Institute of Science and Technology Information "Industrial SoC Technology Development Trend", pp.2-3, Jan. 2007.
  9. ChanHo Lee, "SoC Technology Development Trend", Soong-Sil Univ. TTA jurnal, Vol 93, pp99-95, JAN, 2004.
  10. Parul Goyal, "NUC Algorithm for correctiing Gain and Offset Non-uniformities", IJCSET, Vol 1, Issue 2, 70-76, March. 2011
  11. HeeJin Yoon, "FPGA implementation of bad pixel detection technique of Infrared camera", 2011 IEEK Fall Conference, pp.700-702, Dae-jon Kaist, Korea, OCT, 2011
  12. TaeHyo Kim, YoungMan Kwon, MyungKeun Jun, "Introduction to Digital Image Processing with MATLAB", Hanti Media, 2011.
  13. Heesuk Lee, "Image Processing programming from basic algorithms to library use", freelec, 2013.
  14. HeeJin Yoon, "Implementation of high speed Histogram Equalization CEM for dual mode DIRCM surveillance & reconnaissance", 2014 IEEK Summer General Conference, pp613-615, Je-ju Grand Hotel, Korea, June. 2014