Acta Optica Sinica, Volume. 29, Issue 1, 163(2009)
Salt & Pepper Noise Switching Filter Based On LS-SVR Convolution Mask
[1] [1] Yin L, Yang R K. Weighted median filters: a tutorial [J]. IEEE Trans. Circuits System, 1996, 43(3): 157~192
[2] [2] Sun T, Neuvo Y. Detail-preserving median based filters in image processing [J]. Pattern Recognition Letters, 1994, 15(4): 341~347
[3] [3] Eng H L, Ma K K. Noise adaptive soft-switching median filter[J]. IEEE Trans. Image Processing, 2001, 10(2): 242~251
[4] [4] Xing C J, Wang S J, Deng H J et al.. A new filtering algorithm based on extremum and median value[J]. J. Image and Graphics, 2001, 6(6): 533~536
[7] [7] Vapnik V. The Nature of Statistical Learning Theory[M]. NY: Springer, 1995
[8] [8] Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9(3): 293~300
[9] [9] Su Gaoli, Deng Fangping. Introduction to model selection of SVM regression[J]. Bulletin of Science and Technology, 2006, 22(2): 154~158
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Yu Zhongdang, Wang Longshan. Salt & Pepper Noise Switching Filter Based On LS-SVR Convolution Mask[J]. Acta Optica Sinica, 2009, 29(1): 163