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The Scientific World Journal
Volume 2014 (2014), Article ID 319506, 5 pages
http://dx.doi.org/10.1155/2014/319506
Research Article

Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs

1School of Computer Science, Kookmin University, 77 Jeongneung-ro, Seogbuk-gu, Seoul 136-702, Republic of Korea
2Institute of Mathematical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea
3Department of Mathematics, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea

Received 17 December 2013; Accepted 28 January 2014; Published 4 March 2014

Academic Editors: P. Kosmas, Y. Wu, and X. You

Copyright © 2014 Sang Min Yoon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. Petschnigg, R. Szeliski, M. Agrawala, M. Cohen, H. Hoppe, and K. Toyama, “Digital photography with flash and no-flash image pairs,” ACM Transactions on Graphics, vol. 23, no. 3, pp. 664–672, 2004. View at Google Scholar
  2. F. Durand and J. Dorsey, “Fast bilateral filtering for the display of high-dynamic-range images,” in Proceedings of the ACM Transactions on Graphics (SIGGRAPH '02), pp. 257–266, July 2002. View at Scopus
  3. B. M. Oh, M. Chen, J. Dorsey, and F. Durand, “Image-based modelling and photo editing,” in Proceedings of the Computer Graphics Annual Conference (SIGGRAPH '01), pp. 433–442, August 2001. View at Scopus
  4. C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proceedings of the IEEE 6th International Conference on Computer Vision, pp. 839–846, January 1998. View at Scopus
  5. E. Eisemann and F. Durand, “Flash photography enhancement via intrinsic relighting,” in Proceedings of ACM Transactions on Graphics (SIGGRAPH '04), pp. 673–678, August 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Wang, W. Yin, and Y. Zhang, “A fast algorithm for image deblurring with total variation regularization,” Tech. Rep., CAM, 2007. View at Google Scholar
  7. L. I. Rudin, S. Osher, and E. Fatemi, “Nonlinear total variation based noise removal algorithms,” Physica D, vol. 60, no. 1–4, pp. 259–268, 1992. View at Google Scholar · View at Scopus
  8. M. Nikolova, “Weakly constrained minimization: application to the estimation of images and signals involving constant regions,” Journal of Mathematical Imaging and Vision, vol. 21, no. 2, pp. 155–175, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Caselles, A. Chambolle, and M. Novaga, “The discontinuity set of solutions of the TV denoising problem and some extensions,” Multiscale Modeling and Simulation, vol. 6, no. 3, pp. 879–894, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Nikolova, “Local strong homogeneity of a regularized estimator,” SIAM Journal on Applied Mathematics, vol. 61, no. 2, pp. 633–658, 2000. View at Google Scholar · View at Scopus
  11. Y. Lee, S. Lee, and J. Yoon, “A framework for moving least squares method with total variation minimizing regularization,” Journal of Mathematical Imaging and Vision. View at Publisher · View at Google Scholar
  12. T. Goldstein and S. Osher, “The split Bregman method for l1 regularized problems,” SIAM Journal on Imaging Sciences, vol. 2, no. 2, pp. 323–343, 2009. View at Google Scholar
  13. P. Lancaster and K. Salkauskas, “Surface generated by moving least squares methods,” Mathematics of Computation, vol. 37, no. 155, pp. 141–158, 1981. View at Google Scholar
  14. D. Levin, “The approximation power of moving least-squares,” Mathematics of Computation, vol. 67, no. 224, pp. 1517–1531, 1998. View at Google Scholar · View at Scopus
  15. D. Levin, “Mesh-independent surface interpolation,” in Geometric Modeling For Scientific Visualization, G. Brunnett, B. Hamann, H. Mueller, and L. Linsen, Eds., Springer, 2003. View at Google Scholar