Computer Applications and Software, Volume. 42, Issue 4, 251(2025)

NOISE REMOVAL FOR IMAGE USING ADAPTIVE PULSE-COUPLED NEURAL NETWORK OPTIMIZED BY BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND GREY WOLF OPTIMIZATION

Yang Hong1, Jin Tao1, Shen Chong2, Mi Kangmin1, Huang Chunde3, and Liu Yongxin1
Author Affiliations
  • 1State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, Shanxi, China
  • 2Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry, North University of China, Taiyuan 030051, Shanxi, China
  • 3State Grid Shanxi Electric Power Company, Taiyuan 030021, Shanxi, China
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    References(13)

    [1] [1] Yang G, Liao Y, Zhang Q, et al. No-reference quality assessment of noise-distorted images based on frequency mapping[J]. IEEE Access, 2017, 5: 23146-23156.

    [3] [3] Zhu Z, Jiang J, Zhang X. Impulse noise filter via spatial global outlier measurement[J]. Journal of Electronic Imaging, 2015, 24(5): 053008.

    [4] [4] Kim T, Kim H. Performance comparison of image de-nosing techniques based on color model transformation[J]. Journal of Digital Contents Society, 2017, 18(8): 1641-1648.

    [5] [5] Wang Z, Ma Y, Cheng F, et al. Review of pulse-coupled neural networks[J]. Image and Vision Computing, 2010, 28 (1): 5-13.

    [6] [6] Deng X, Ma Y, Dong M. A new adaptive filtering method for removing salt and Flower noise based on multilayered PCNN[J]. Pattern Recognition Letters, 2016, 79: 8-17.

    [7] [7] Zhu S, Wang L, Duan S. Memristive pulse coupled neural network with applications in medical image processing[J]. Neurocomputing, 2017, 227: 149-157.

    [8] [8] Wu C, Liu Z, Jiang H. Catenary image segmentation using the simplified PCNN with adaptive parameters[J]. Optik, 2018, 157: 914-923.

    [10] [10] Cheng Y, Tian L, Yin C, et al. Research on crack detection applications of improved PCNN algorithm in moi nondestructive test method[J]. Neurocomputing, 2018, 277: 249-259.

    [11] [11] He F, Guo C, Gao C. A parameter estimation method of the simple PCNN model for infrared human segmentation[J]. Optics and Laser Technology, 2018, 110: 114-119.

    [12] [12] Xu X, Shan D, Wang G, et al. Multimodal medical image fusion using PCNN optimized by the QPSO algorithm[J]. Applied Soft Computing, 2016, 46: 588-595.

    [15] [15] Lu C, Gao L, Yi J. Grey wolf optimizer with cellular topological structure[J]. Expert Systems with Applications, 2018, 107: 89-114.

    [18] [18] Shen C, Wang D, Tang S, et al. Hybrid image noise reduction algorithm based on genetic ant colony and PCNN[J]. The Visual Computer, 2017, 33(11): 1373-1384.

    [19] [19] Titijaroonroj T, Woraratpanya K. Iteration-free bi-dimensional empirical mode decomposition and its application[J]. IEICE Transactions on Information and Systems, 2017, 100 (9): 2183-2196.

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    Yang Hong, Jin Tao, Shen Chong, Mi Kangmin, Huang Chunde, Liu Yongxin. NOISE REMOVAL FOR IMAGE USING ADAPTIVE PULSE-COUPLED NEURAL NETWORK OPTIMIZED BY BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND GREY WOLF OPTIMIZATION[J]. Computer Applications and Software, 2025, 42(4): 251

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    Paper Information

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    Received: Nov. 30, 2021

    Accepted: Aug. 25, 2025

    Published Online: Aug. 25, 2025

    The Author Email:

    DOI:10.3969/j.issn.1000-386x.2025.04.036

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