7. Side Window Filter (SWF)[1-1]
• 通常のフィルタ:注目画素を中心とした近傍で計算
• side window:注目画素を端においた近傍で計算
– 斜め等様々なパターン(下例)が考えられるが、計算効率上8つに絞っている
7
注目画素
L R U D NW NE SW SE
…
7x7のGaussian Filterを例に
13. 参考文献
• [1-1] Yin, Hui & Gong, Yuanhao & Qiu, Guoping. (2019). Side Window Filtering.
8750-8758. 10.1109/CVPR.2019.00896.
• [1-2] Side Window Filtering (CVPR2019 oral, #5176)
https://github.com/YuanhaoGong/SideWindowFilter
• [1-3] F. Durand and J. Dorsey. Fast bilateral filtering for the display of high-
dynamic-range images. ACM Trans. on Graphics, 21(3):257–266, 2002.
• [1-4] A. Levin, D. Lischinski, and Y. Weiss. Colorization using optimization. ACM
Trans on Graphics, 23(3):689–694, 2004.
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26. 参考文献
• [2-1] Gong, Yuanhao & Sbalzarini, Ivo. (2017). Curvature Filters Efficiently Reduce
Certain Variational Energies. IEEE Transactions on Image Processing. 26. 1786-
1798. 10.1109/TIP.2017.2658954.
• [2-2] Curvature filters are efficient solvers for variational models.
https://github.com/YuanhaoGong/CurvatureFilter
• [2-3] https://slidesplayer.net/slide/16186926/
• [2-4] M. Ibrahim, K. Chen, and C. Brito-Loeza. (2015). “A novel variational model
for image registration using Gaussian curvature.” [Online]. Available:
https://arxiv.org/abs/1504.07643
• [2-5] S.-H. Lee and J. K. Seo, “Noise removal with Gauss curvature-driven
diffusion,” IEEE Trans. Image Process., vol. 14, no. 7, pp. 904–909, Jul. 2005
• [2-6] T. Goldstein and S. Osher, “The split Bregman method for L1-regularized
problems,” SIAM J. Imag. Sci., vol. 2, no. 2, pp. 323–343, 2009.
• [2-7] A. Chambolle and T. Pock, “A first-order primal-dual algorithm for convex
problems with applications to imaging,” J. Math. Imag. Vis., vol. 40, no. 1, pp.
120–145, 2011.
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