Optics and Precision Engineering, Volume. 26, Issue 12, 3028(2018)
Median filtering algorithm for adaptive window shape
[1] [1] ZHANG X M, KANG Q, CHENG J F, et al.. Adaptive four-dot midpoint filter for removing high density salt-and-pepper noise in images[J]. Journal of Computer Applications, 2017, 37(3): 832-838. (in Chinese)
[2] [2] KHAN S, LEE D H. An adaptive dynamically weighted median filter for impulse noise removal[J]. Eurasip Journal on Advances in Signal Processing, 2017, 2017(1): 67.
[3] [3] ZONG Y SH, HU X H, ZHANG R G. Adaptive dual-threshold median filtering method[J]. Journal of Chinese Computer Systems, 2017, 38(7): 1642-1647. (in Chinese)
[4] [4] NASRI M, SARYAZDI S, NEZAMABADI-POUR H. A fast adaptive salt and pepper noise reduction method in images[J]. Circuits Systems & Signal Processing, 2013, 32(4): 1839-1857.
[5] [5] SA P K, MAJHI B. An improved adaptive impulsive noise suppression scheme for digital images[J]. AEU - International Journal of Electronics and Communications, 2010, 64(4): 322-328.
[6] [6] WANG ZH J, YU ZH J, MA K, et al.. An image filtering algorithm based on adaptive median and gradient inverse weigh[J].Laser & Optoelectronics Progress, 2017, 54(12): 148-154.(in Chinese)
[7] [7] LIU P Y, HA R, JIA K CH. Improved adaptive median filter and Its' application[J]. Journal of Beijing University of Technology, 2017, 43(4): 581-586..(in Chinese)
[8] [8] ROY A, LASKAR R H. Non-casual linear prediction based adaptive filter for removal of high density impulse noise from color images[J]. AEU - International Journal of Electronics and Communications, 2017, 72: 114-124.
[10] [10] HUANG J, ZHOU X CH, WU T, et al.. Image denoising model of hybrid wiener filtering and improved TV [J]. Journal of electronic measurement and instrumentation. 2017, 31(10): 1659-1666. (in Chinese)
[12] [12] DANIELYAN A, KATKOVNIK V, EGIAZARIAN K. BM3D frames and variational image deblurring[J]. IEEE Transactions on Image Processing, 2012, 21(4): 1715-1728.
[13] [13] CHEN G, LUO G, TIAN L, et al.. Noise reduction for images with non-uniform noise using adaptive block matching 3D filtering[J]. Chinese Journal of Electronics, 2017, 26(6): 1227-1232.
[14] [14] CHU G L, WANG Y J, DI N, et al.. Fast identification of spacecraft target in complex scene [J]. Opt. Precision Eng., 2016, 24(4): 865-872. (in Chinese)
[16] [16] KANDI H, MISHRA D, GORTHI S R K S. Exploring the learning capabilities of convolutional neural networks for robust image watermarking[J]. Computers & Security, 2017, 65: 247-268.
[17] [17] CHONG B, ZHU Y K. Speckle reduction in optical coherence tomography images of human finger skin by wavelet modified BM3D filter[J]. Optics Communications, 2013, 291(6): 461-469.
[18] [18] ZHANG K, ZUO W, CHEN Y, et al.. Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising[J]. IEEE Transactions on Image Processing, 2017, 26(7): 3142-3155.
[19] [19] ZHANG G B, SHU H CH, YU J L. Surge identification for travelling wave based on straight lines detection via Hough transform[J]. Proceedings of the CSEE, 2013, 33(19): 165-173. (in Chinese)
[20] [20] NAVA F A. The intersective Hough transform for geophysical applications[J]. Geofísica Internacional, 2014, 53(3): 321-332.
Get Citation
Copy Citation Text
ZOU Yong-ning, YAO Gong-jie. Median filtering algorithm for adaptive window shape[J]. Optics and Precision Engineering, 2018, 26(12): 3028
Category:
Received: May. 29, 2018
Accepted: --
Published Online: Jan. 27, 2019
The Author Email: Yong-ning ZOU (zynlxu@sina.com)