디지털 자동 초점을 위한 등방성 점확산함수 추정

Estimation of Circularly Symmetric Point Spread Function for Digital Auto-Focusing

  • 김동균 (중앙대학교 첨단영상대학원 영상학과) ;
  • 박영욱 (중앙대학교 첨단영상대학원 영상학과) ;
  • 이진희 (중앙대학교 첨단영상대학원 영상학과) ;
  • 백준기 (중앙대학교 첨단영상대학원 영상학과)
  • Kim, Dong-Gyun (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia and Film, Chung-Ang University) ;
  • Park, Young-Uk (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia and Film, Chung-Ang University) ;
  • Lee, Jin-Hee (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia and Film, Chung-Ang University) ;
  • Paik, Joon-Ki (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia and Film, Chung-Ang University)
  • 발행 : 2009.01.25

초록

본 논문은 디지털 자동초점을 위한 등방성 점확산함수 추정에 관한 새로운 방법을 제안한다. 제안하는 알고리듬은 영상의 윤곽에서 방향을 판단하고 방향에 따라 윤곽 프로파일을 수집한다. 수집한 윤곽 프로파일을 평균하여 계단응답을 만들고 등방성 점확산함수의 특징을 이용하여 점확산함수를 추정한다. 실험을 통해 열화된 영상에서 제안하는 알고리듬으로 점확산함수를 추정하는 과정을 보이고 정확성을 증명한다.

This paper presents a circularly symmetric point spread function (PSF) estimation technique for a fully digital auto-focusing system. The proposed algorithm provides realistic, unsupervised PSF estimation by establishing the relationship between one-dimensional ideal step response and two-dimensional circularly symmetric PSF.

키워드

참고문헌

  1. J. Paik, "New application areas of image restoration: a perspective," Proc. Asia-Pacific Conf. Comm., vol. 2, pp.775-778, August 1993
  2. S. Park, H. Kim, and J. Paik, "Combined digital zoom and digital effects system utilizing CCD signal characteristics,"IEEE Trans. Consumer Electronics, vol. 39, no. 3, pp. 398-406, August 1993 https://doi.org/10.1109/30.234612
  3. D. Kundur and D. Hatzinakos, "Blind image deconvolution," Proc. IEEE Trans. Signal Processing, vol. 13, no. 3, pp. 43-64, May 1996 https://doi.org/10.1109/79.489268
  4. S. Reeves and R Mersereau, "Blur identification by method of generalized cross-validation," IEEE Trans. Image Processing, vol. 1, no. 7, pp. 301-311, July 1992 https://doi.org/10.1109/83.148604
  5. R. Fergus, B. Singh, A. Hertzmann, S. Riweis, and W. Freeman, "Removing Camera Shake from a Single Photograph," ACM Trans. Graphics, Matting, Deblurring, vol. 25, no. 3, pp. 787-794, July 2006 https://doi.org/10.1145/1141911.1141956
  6. T. Stocknam, T. Cannon, and R. Ingebretsen, "Blind deconvolution through digital signal processing," Proc. IEEE, vol. 63, no. 4, pp. 678-692, April 1975 https://doi.org/10.1109/PROC.1975.9800
  7. R. Molina, J. Mateos, A. Katsaggelos, "Blind deconvolution using a variational approach to parameter, image, and blur estimation," IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3715–3727, December 2006 https://doi.org/10.1109/TIP.2006.881972
  8. S. Kim and J. Paik, "Out-of-focus blur estimation and restoration for digital auto-focusing system," Electronics letters, vol. 34, no. 12, pp. 1217-1219, June 1998 https://doi.org/10.1049/el:19980762
  9. S. Kim, S. Park, and J. Paik, "Simultaneous out-of-focus blur estimation and restoration for digital AF system," IEEE Trans. Consumer Electronics, vol. 44, no. 3, pp. 1071-1075, August 1998 https://doi.org/10.1109/30.713236
  10. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal, Machine Intelligence, vol. 8, no. 6, pp. 679-697, November 1986 https://doi.org/10.1109/TPAMI.1986.4767851