JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (4): 10-19.doi: 10.6040/j.issn.1672-3961.0.2018.063

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Image enhancement algorithm based on six dimensional feedforward neural network model

ZHANG Xianhong1, ZHANG Chunrui2*   

  1. 1. College of Computer Science and Technology, Heilongjiang Institue of Technogly, Harbin 150001, Heilongjiang, China;
    2. Department of Mathematics, Northeast Forestry University, Harbin 150001, Heilongjiang, China
  • Received:2018-02-09 Online:2018-08-20 Published:2018-02-09

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Abstract: Aiming at the problems of weakening the edges caused by filtering denoising, partially indistinct images and low contrast, an image enhancement algorithm based on the six dimension feedforward neural network model was proposed on the basis of fully analyzing the dynamic properties of the model. The experiment showed that the image enhancement algorithm based on the six dimensional feedforward neural network model could better achieve a very good enhancement effect. Compared with other enhancement algorithms, the enhancement effect was clearer and the algorithm was better.

Key words: image enhancement, neural network, six dimensional feed-forward neural network model, dynamic system, image processing

CLC Number: 

  • TP391.4
[1] COHENM A, GROSSBERG S. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks[J]. IEEE Transactions on Systems Man & Cybernetics, 1983, 13(5):815-826.
[2] HOPFIELDJ J. Neurons with graded response have collective computational properties like those of two-state neurons[J]. Proceedings of the National Academy of Sciences of the United States of America, 1984, 81(10):3088-92.
[3] SONG Y, WEI J. Local hopf bifurcation and global periodic solutions in a delayed predator-prey system[J]. Journal of Mathematical Analysis & Applications, 2005, 301(1):1-21.
[4] LI L, YUAN Y. Dynamics in three cells with multiple time delays[J]. Nonlinear Analysis Real World Applications, 2008, 9(3):725-746.
[5] WANG H, JIANG W. Hopf-pitchfork bifurcation in van der pol's oscillator with nonlinear delayed feedback[J]. Journal of Mathematical Analysis & Applications, 2010, 368(1):9-18.
[6] JIANGW, NIU B. On the coexistence of periodic or quasi-periodic oscillations near a hopf-pitchfork bifurcation in NFDE[J]. Communications in Nonlinear Science & Numerical Simulation, 2013, 18(3):464-477.
[7] RUANS G, FILFIL R S. Dynamics of a two-neuron system with discrete and distributed delays[J]. Physica D Nonlinear Phenomena, 2004, 191(3-4):323-342.
[8] WANG H, WANG J. Hopf-pitchfork bifurcation in a two-neuron system with discrete and distributed delays[J]. Mathematical Methods in the Applied Sciences, 2015, 38(18): 4967-4981.
[9] PAN Y, YU H. Biomimetic hybrid feedback feedforward neural-network learning control[J]. IEEE Transactions on Neural Networks & Learning Systems, 2017(99):1-7.
[10] HU J Y, ZHANG J S, ZHANG C X, et al. A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons[J]. Neurocomputing, 2016, 171(C):63-72.
[11] PAYAL A, RAI C S, REDDY B V R. Analysis of some feedforward artificial neural network training algorithms for developing localization framework in wireless sensor networks[J]. Wireless Personal Communications, 2014, 82(4):1-18.
[12] MASULLI P, VILLAA E P. Dynamics of evolving feed-forward neural networks and their topological invariants[M]. Barcelona, Spain: Springer International Publishing, 2016: 25-46.
[13] WANG P, LU J H, ZHANG Y H. Global relative input-output sensitivities of the feed-forward loops in genetic networks[J]. Neurocomputing, 2012, 78(1):155-165.
[14] MCCULLENN J, MULLIN T, GOLUBITSKY M. Sensitive signal detection using a feed-forward oscillator network[J]. Physical Review Letters, 2007, 98(25): 254101.
[15] 褚江,陈强,杨曦晨.全参考图像质量评价综述[J].计算机应用研究,2014, 31(1):13-22. CHU Jiang, CHEN Qiang, YANG Xichen. A review of all reference image quality evaluation[J]. Computer Application Research, 2014, 31(1):13-22.
[16] 王哲远,李元祥,郁文贤.SAR图像质量评价综述[J].遥感信息, 2016, 31(5):1-10. WANG Zheyuan, LI Yuanxiang, YU Wenxian. SAR image quality assessment overview[J]. Remote Sensing Information, 2016, 31(5):1-10.
[17] 王志明. 无参考图像质量评价综述[J].自动化学报, 2015, 41(6):1062-1079. WANG Zhiming. Overview of no reference image quality assessment[J]. Automation Journal, 2015, 41(6): 1062-1079.
[18] 李俊峰.基于RGB色彩空间自然场景统计的无参考图像质量评价[J].自动化学报,2015, 41(9):1601-1615. LI Junfeng. No reference image quality assessment based on RGB color space natural scene statistics[J]. Automation Journal, 2015, 41(9):1601-1615.
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