웨이블릿 영역에서 색차를 이용한 디모자이킹 방법

Demosaicking Method Using Color Difference in Wavelet Domain

  • 정보규 (부산대학교 전자전기공학부) ;
  • 성영민 (부산대학교 전자전기공학부) ;
  • 김병철 (부산대학교 바이오메다컬공학과) ;
  • 엄일규 (부산대학교 전자전기공학부)
  • Jeong, Bo-Gyu (School of Electrical Engineering, Pusan National University) ;
  • Seong, Young-Min (School of Electrical Engineering, Pusan National University) ;
  • Kim, Byung-Chul (Department of Biomedical Engineering, Pusan National University) ;
  • Eom, Il-Kyu (School of Electrical Engineering, Pusan National University)
  • 투고 : 2010.01.05
  • 심사 : 2010.04.23
  • 발행 : 2010.07.25

초록

본 논문에서는 웨이블릿 영역에서 색차를 이용한 효과적인 디모자이킹 방법을 제안한다. 저주파 영역의 웨이블릿 계수는 관찰된 고주파 계수를 이용한 에지 방향적인 보간에 의해 구해진다. 손실된 고주파 계수는 추정된 저주파 계수에 의해 얻어진다. 고주파수 영역에서 결함을 줄이고 시각적인 질을 향상시키기 위해서 웨이블릿 영역에서 색차 방법을 이용하여 고주파수 계수를 업데이트 한다. 웨이블릿 영역에서 제안한 디모자이킹 방법을 시뮬레이션하고, 기존의 디모자이킹 방법들과 비교를 하였다. 실험 결과를 통해 제안 방법이 향상된 디모자이킹 결과를 발생시킨다는 것을 보여주었다.

In this paper, we present an efficient demosaicking method using the difference between color channels in the wavelet domain. In our method, the low frequency wavelet coefficients are obtained by an edge-directive interpolation using the observed high frequency coefficients. The missing high frequency coefficients are obtained by the estimated low frequency coefficients. In order to reduce artifacts in high frequency domain and to improve visual quality, we update the high frequency coefficient using the color difference rule in the wavelet domain. We simulate our demosaicking method in the wavelet domain and compare our algorithm to the existing demosaicking schemes. Experimental results illustrate that the proposed method can generate enhanced demosaicking results.

키워드

참고문헌

  1. B. Bayer, Color imaging array, U. S. Patent No. 3,971,065 (1976).
  2. D. Cok, Signal processing method and apparatus for sampled color signal, U. S. Patent 4,642,678, (1987).
  3. J. Adams, K. Parulski, and K. Spaulding, "Color processing in digital cameras," IEEE Micro, vol. 18, no. 6, pp.20-30, Nov.-Dec. 1988
  4. Keys, Robert.G. et.al., "Cubic Convolution Interpol ation for Digital Image Processing IEEE Transactions on Acoustic, Speech and Signal Processing, vol.29, pp.1153-1160, 1981. https://doi.org/10.1109/TASSP.1981.1163711
  5. J. E. Adams Jr, Interactions between color plane interpolation and other image processing functions in electronic photography, proc, SPIE, (2416), 144-151 (1995).
  6. http://www.site.uottawa.ca/~edubois/demosaicking/ 24 images from KODAK Photo CD Photo Sampler, 1991.
  7. R. Kimmel, Demosaicking: Image reconstruction from color CCD samples, IEEE Transaction.Image Processing, 8, 1221-1228, (1999). https://doi.org/10.1109/83.784434
  8. W. Lu and Y.-P Tan, Color filter array demosaicking: New method and performance measures, IEEE Transaction on Image Process, 12(10), 1194-1210 (2003). https://doi.org/10.1109/TIP.2003.816004
  9. S. C. Pei and I. K. Tam, effective color interpolation in ccd color filter arrays using signal correlation, IEEE Transactions on Circuits and Systems for Video Technology, 12(6), 503-513 (2003).
  10. J. W. Glotzbach, R. W. Schafer, and K. Illgner, A method of color filter array interpolation with alias cancellation properties, IEEE international conference, Image Processing, 1, 141-144 (2001).
  11. X. Li, Demosaicking by successive approximatio n, IEEE Transaction on Image Processing, 14(3), 370-379 (2005). https://doi.org/10.1109/TIP.2004.840683
  12. Claude. A. Laroche and Mark. A. Prescott, Apparatus and method for adaptively interpolating a full color image utilizing chrominance gradients, U. S.Patent 5,373,322, (1994).
  13. J. F. Hamiltion and J.E. Adams, Adaptive color plan interpolation in single sensor color electronic a camera, U. S. Patent 5,629,734 (1997).
  14. R. Kakarala and Z. Baharav, Adaptive demosaicing with the principal vector method, IEEE Transaction Consumer Electronics, 48(6), 932-937 (2002).
  15. Li Chen, Kim-Hui Yap, Yu He, Color Filter Array Demosaicking Using Wavelet-Based Subband Synthesis, IEEE International Conference on Image Processing, 2, 1002-1005 (2005).
  16. J. Driesen, P. Scheunders, Wavelet-based Color Filter Array demosaicking, IEEE International Conference on Image Processing, 5, 3311-3314 (2004).
  17. B. K. Gunturk, Y. Altubasak, and R. M. Mersereau, Color Plane interpolation using alternating projection, IEEE Transactions on image Processing, 11(9), 2002.
  18. X.Wu, W.K. Choi, and P. Bao, Color restoration from digital camera data by pattern matching, Proc. SPIE, 3018, 12-17 (1997).
  19. E. Chang, S. Cheung, and D. Pan, Color filter array recovery using a threshold-based variable number of gradients, Pro. SPIE, 3650, 1999, 36-43.
  20. X. Li and M. Orchard, New edge directed interpolation, in Proc. IEEE International Conference, Image Processing, 2, 2000, 311-314.
  21. S.Mallat, "Multifrequency channel decompositions of images and wavelet models". IEEE Trans,Acous. Speech Sig. Proc., vol. 37, 12, 1989, pp 2091-2110 https://doi.org/10.1109/29.45554
  22. "Recommendations on Uniform Color Space, Color Difference Equation, Psychometric Color Terms," C.I.E, Supplement no.2 to CIE publication no. 15(E-131) 1971/(TC-1.3), 1978
  23. C. Y.Tsai, and K. T. Song, "Heterogeneity- Projection Hard-Decision Color Interpolation Using Spectral-Spatial Correlation," IEEE Transactions on Image Processing, vol.16, no.1, pp.78-91, 2007.
  24. X. Wu, and N. Zhang," Primary-Consistent Soft-Decisoin Color Demosaicking for Digital Cameras," IEEE Transactions on Image Processing, vol.13, no.9, pp.1263-1274, 2004. https://doi.org/10.1109/TIP.2004.832920
  25. D. Menon, S. Andriani, and G. Calvagno, "Demisaicing with Directional Filtering and a Posteriori Decision," IEEE Transactions on Image Processing, vol.16, no.1, pp.132-141, 2007. https://doi.org/10.1109/TIP.2006.884928
  26. K. H. Chung, and Y. H Chan, "Color Demosaicing UsingVariance of Color Difference," IEEE Transactions on Image Processing, vol.15, no.10, pp.2944-2955, 2006.
  27. Li Chen, Kim-Hui Yap, Yu He, "Subband Synthesis for Color Filter Array Demosaicking," IEEE Trans. Systems, Man and Cybernetics, Part A, Vol.38, Issue2, pp. 485-492, March 2008 https://doi.org/10.1109/TSMCA.2007.914740
  28. Bo Gyu Jeong, Sueng Hwa Hyun, Il Kyu Eom, "Edge adaptive demosaicking in wavelet domain," 9th International Conference on Signal Processing 26-29 Oct. 2008 Page(s):836 - 839 I.