한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

VLSI Implementation of Adaptive Shading Correction System Supporting Multi-Resolution for Mobile Camera

  • Ha, Joo-Young (Department of Electronic Engineering, Dong-A Univ.) ;
  • Lee, Sung-Mok (Department of Electronic Engineering, Dong-A Univ.) ;
  • Jang, Won-Woo (Department of Electronic Engineering, Dong-A Univ.) ;
  • Yang, Hoon-Gee (Department of Radio Science and Engineering, Kwangwoon Univ.) ;
  • Kang, Bong-Soon (Department of Electronic Engineering, Dong-A Univ.)
  • 발행 : 2006.12.30
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초록

In this paper, we say the adaptive shading correction system supporting multi-resolution for mobile camera. The shading effect is caused by non-uniform illumination, non-uniform camera sensitivity, or even dirt and dust on glass (lens) surfaces. In general this shading effect is undesirable [1-3]. Eliminating it is frequently necessary for subsequent processing and especially when quantitative microscopy is the fine goal. The proposed system is available on thirty nine kinds of image resolutions scanned by interlaced and progressive type. Moreover, the system is using forty kinds of continuous quadratic equations instead of using the piece-wise linear curve which is composed of multiple line segments. Finally, the system could correct the shading effect without discontinuity in any image resolution. The proposed system is implemented in VLSI with cell library based on Hynix $0.25{\mu}m$ CMOS technology.

키워드

참고문헌

  1. I. T. Young, 'Shading Correction: Compensation for lllumination and Sensor Inhomogeneities,' On-line: http://www.ph.tn.tndelft.nl. Faculty of Applied Physics. July. 2000
  2. Tomazevic D, Likar B and Pernus F, Comparative evaluation of retrospective shading correction methods, University of Ljubljana, Department of Electrical Engineering, Trzaska 25, 1000 Ljubljana, Slovenia
  3. I. T. Young, J. J. Gerbrands and L. J. V. Vliet, Image Processing Fundamentals in The Digital signal processing Handbook, V. K. Madisetti and D. B. Williams, Eds. Boca Raton, Florida: CRC Press in cooperation with IEEE Press, 1998
  4. Y. C. Tsoi and M. S. Brown, 'Geometric and shading correction of imaged printed materials: A unified approach using boundary,' Proc. IEEE Computer Vision and Pattern Recognition, Vol. 1, pp. 240-246, Jun. 27-July 2 2004
  5. J. Nakamura, Image Sensors and Signal Processing for Digital Still Cameras, New York: Taylor and Francis Group, 2006
  6. H. C. Lee, Introduction to Color Imaging Science, Pressed in the United Kingdom at the University Press, Cambridge, 2005
  7. R. L. Miller, C. E. Del Castillo and B. A. Mckee, Remote Sensing of Coastal Aquatic Environments: Technologies, Techniques and Applications(Remote Sensing and Digital Image Processing), Netherlands Springer, 2006
  8. Matsushita Electric Industrial Co., Ltd., 'Shading correction method and system and digital camera,' U.S. Patent 0174445, Sep. 9, 2004
  9. Megna Chip Co., Ltd., 'Lens shading correction method of image sensor,' KR. Patent 10-2005-0020372, Nov. 11, 2005
  10. D. J. Smith. HDL Chip Design: A practical guide for designing, synthesizing and simulating ASICs and FPGAs using VHDL or Verilog. Doone Publications, 1996