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Iterative Unsharp Mask Filter for Digital Auto-Focusing  

Shin, Jeong-Ho (Dept. Web Information Engineering, Hankyong National University)
Publication Information
Abstract
This paper presents a digital auto-focusing algorithm using iterative unsharp mask filter. The proposed digital auto-focusing algorithm has the advantage of low computational complexity because it uses a simple filter instead of calculating the point spread function for the estimation of image degradation. The proposed iterative algorithm can control the number of iterations for image restoration according to the objective and the subjective criterion. We show that the proposed algorithm is mathematically equivalent to the conventional image restoration. Finally, in order to evaluate the performance of the proposed algorithm, various experiments are performed so that the proposed algorithm can provide good results in the sense of subjective and objective views.
Keywords
digital auto-focusing; iterative unsharp mask filter; image restoration;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 A. K. Katsaggelos, "Iterative image restoration algorithms," Optical Engineering, Vol. 28, pp. 735-748, Jul. 1989.
2 P. H. Van Cittert, "Zum Einfluss der Spaltbreit auf die Intensitätsverteilung in Spektrallineien II," Z. Physik, vol. 69, pp. 298-308, 1931.   DOI
3 J. Biemond, R. Lagendijk, and R. Mersereau, "Iterative methods for image deblurring," Proceedings of the IEEE, vol. 78, no. 5, May 1990.
4 김동균, 박영욱, 이진희, 백준기, "디지털 자동 초점을 위한 등방성 점확산함수 추정" 전자공학회논문지, 46권, SP편, 1호, pp. 7-13, 2009년 1월.   과학기술학회마을
5 A. K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, 1989.
6 이태희, 송우진, "가변크기필터를 통해 halo artifact를 줄이는 sharpening." 전자공학회 하계종합학술대회 논문집, 31권, 1호, 2008년.
7 S. H. Kim and J. P. Allebach, "Optimal unsharp mask for image sharpening and noise removal," J. Electronic Imaging, vol. 14, no. 2, pp. 1-13, June 2005.
8 R. L. Lagendijk, J. Biemond, and D. E. Boekee, "Identification and Restoration of Noisy Blurred Image Using the Expectation-Maximization Algorithm," IEEE Trans. Acoustics, Speech, Signal Proc., vol. 38 no. 7, pp. 1180-1191, July 1990.   DOI   ScienceOn
9 D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Processing Magazine, vol. 13, no. 3, pp. 43-64, May 1996.   DOI   ScienceOn