Browse > Article
http://dx.doi.org/10.5573/ieek.2013.50.4.127

A Video Deblurring Algorithm based on Sharpness Metric for Uniform Sharpness between Frames  

Lee, Byung-Ju (School of Electronic Engineering, Inha University)
Lee, Dong-Bok (School of Electronic Engineering, Inha University)
Song, Byung Cheol (School of Electronic Engineering, Inha University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.4, 2013 , pp. 127-136 More about this Journal
Abstract
This paper proposes a video deblurring algorithm which maintains uniform sharpness between frames. Unlike the previous algorithms using fixed parameters, the proposed algorithm keeps uniform sharpness by adjusting parameters for each frame. First, we estimate the initial blur kernel and perform deconvolution, then measure the sharpness of the deblurred image. In order to maintain uniform sharpness, we adjust the regularization parameter and kernel according to the examined sharpness, and perform deconvolution again. The experimental results show that the proposed algorithm achieves outstanding deblurring results while providing consistent sharpness.
Keywords
sharpness equalization; sharpness metric; video deblurring;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R. Fergus, H. Singh, A. Herzmann, S. T. Reweis, and W. T. Freeman. "Removing camera shake from a single photograph," in Proc. ACM SIGGRAPH, pp. 787-794, 2006.
2 A. Levin, Y. Weiss, F, Durand, and W. T. Freeman, "Understanding and evaluating blind deconvolution algorithms," in Proc. CVPR, 2009.
3 L. Xu and J. Jia, "Two-phase kernel estimation for robust motion deblurring," in Proc. ECCV, pp. 157-170, 2010.
4 S. Cho and S. Lee, "Fast motion deblurrin," ACM Trans. Graphics, vol. 28, no. 5, p. 145, Dec. 2009.
5 J. Chen, L. Yuan, and C. -K. Tang, "Robust dual motion deblurring," in Proc. CVPR, 2008.
6 L. Yuan, J. Sun, L. Quan, and H, Y, Shum, "Image deblurring with blurred/noisy image pair," ACM Trans. Graphics, vol. 26, no. 3, July 2007.
7 M. Ben-Ezra and S. K. Nayar. "Motion-based motion deblurring," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 689-698, June 2004.   DOI   ScienceOn
8 A. Agrawal, Y. Xu, and R. Raskar, "Invertibe motion blur in video," ACM Trans. Graphics, vol.28, no.3, p.95, August 2009.
9 H. Takeda and P. Milanfar, "Removing motion blur with space-time processing," IEEE Trans. Image Process., vol. 20, no. 10, pp. 2990-3000, October 2011.   DOI   ScienceOn
10 Y. Wang and W. Yin, "Compresses sensing via iterative support detection," CAAM Technical Report TR09-30, 2009.
11 N. Otsu, "A threshold selection method from gray level histogram," IEEE Trans. Syst. Man Cyber,, vol. 9, pp. 62-66, Jan. 1979.   DOI   ScienceOn
12 F. Crete, T. Dolmiere, P. Ladret, and M. Nicolas, "The blur effect: perceptual and estimation with a new no-reference perceptual blur metric," in Proc. SPIE Electronic Imaging, 2007.