Laser & Optoelectronics Progress, Volume. 54, Issue 12, 121001(2017)

An Image Filtering Algorithm Based on Adaptive Median and Gradient Inverse Weight

Wang Zhijun1, Yu Zhijing1, Ma Kai2, Wu Jun2、*, and Zhuge Jingchang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(16)

    [3] [3] Zhang Yu. Research on filtering algorithm for salt-and-pepper noise of digital image[D]. Harbin: Harbin University of Science and Technology, 2009: 10-13.

    [4] [4] Guo Bin. Image denoising[D]. Xi′an: Xidian University, 2012: 5-19.

    [5] [5] Xu Lizhong, Wang Huimin. An image pre-processing algorithm based on human visual properties and rough sets[J]. Journal of Image and Graphics, 1999, 4(11): 911-914.

    [6] [6] Wei Dan, Chen Shuzhen, Chen Bin, et al. Improvement and implementation of gradient inverse weight smoothing algorithm[J]. Application Research of Computers, 2005(3): 153-154, 157.

    [7] [7] Zhu Lei, Xu Peixia. A reciprocal weight image filtering algorithm using adaptive neighborhood statistics[J]. Measurement & Control Technology, 2006, 25(5): 33-35, 38.

    [8] [8] Ataman E, Aatre V K, Wong K M. Some statistical properties of median filters[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 29(5): 1073-1075.

    [9] [9] Gallagher N C, Wise G L. A theoretical analysis of the properties of median filters[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981, 29(6): 1136-1141.

    [10] [10] Lin H M, Willson A N. Median filters with adaptive length[J]. IEEE Transactions on Circuits and Systems, 1988, 35(6): 675-690.

    [11] [11] Li Zuoyong, Tang Kezong, Hu Jinmei, et al. Directional weighted mean filter for image with salt & pepper noise[J]. Journal of Image and Graphics, 2013, 18(11): 1407-1415.

    [12] [12] Liu Pengyu, Ha Rui, Jia Kebin. Improved adaptive median filter and its′ application[J]. Journal of Beijing University of Technology, 2017, 43(4): 581-586.

    [13] [13] Li Yuqian, Su Guangda. Fast implementation of adaptive median filter based on neighborhood processor[J]. Instrument Technique and Sensor, 2016(7): 120-122.

    [14] [14] Xiao Lei, He Kun, Zhou Jiliu, et al. Image noise removal on improvement adaptive medium filter[J]. Laser Journal, 2009, 30(2): 44-46.

    [15] [15] Zeng Xianyou, Huang Zuohua, Zhou Jinzhao, et al. An adaptive extremum and median filtering algorithm for salt and pepper noise[J]. Computer and Modernization, 2012(11): 70-73, 77.

    [16] [16] Yang Zhuodong, Zhang Xin, Zhang Tao, et al. Image noise-removal on modified adaptive median filter[J]. Communications Technology, 2015, 48(11): 1257-1260.

    [18] [18] Wang Yiyan. The study of image denoising algorithm[D]. Xi′an: Shaanxi Normal University, 2008: 3-5.

    CLP Journals

    [1] Mao Zhengchong, Chen Qiang. Recognition and Tracking of AGV Multi-Branch Path Based on PCA-LDA and SVM[J]. Laser & Optoelectronics Progress, 2018, 55(9): 91005

    [2] Aiping Yang, Yue Zhang, Jinbin Wang, Yuqing He. Adaptive Weighted Generalized Total Variation Image Deblurring Based on Primal-Dual algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(4): 041003

    Tools

    Get Citation

    Copy Citation Text

    Wang Zhijun, Yu Zhijing, Ma Kai, Wu Jun, Zhuge Jingchang. An Image Filtering Algorithm Based on Adaptive Median and Gradient Inverse Weight[J]. Laser & Optoelectronics Progress, 2017, 54(12): 121001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jun. 5, 2017

    Accepted: --

    Published Online: Dec. 11, 2017

    The Author Email: Wu Jun (j-wu@cauc.edu.cn)

    DOI:10.3788/lop54.121001

    Topics