Optical Technique, Volume. 47, Issue 4, 500(2021)

Study on low Illumination image enhancement based on quantum behaved particle swarm optimization

XUE Yuanyuan1、*, ZHANG Xingzhong2, and ZHAO Jianbin3
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [8] [8] Wang C, Wang S, Ma B, et al. Transform domain based medical image Super-resolution via deep Multi-scale Network[C]∥ ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).Brighton,UK:IEEE,2019:28—35.

    [10] [10] Kaur H, Rani J. MRI brain image enhancement using Histogram Equalization techniques[C]∥ International Conference on Wireless Communications.Chennai,India:IEEE,2016:23—29.

    [11] [11] Wang S, Luo G. Naturalness preserved image enhancement using a priori Multi-Layer lightness statistics[J]. IEEE Transactions on Image Processing,2018,27(2):1—3.

    [12] [12] Tao L, Zhu C, Xiang G, et al. LLCNN: A convolutional neural network for low-light image enhancement[C]∥ Visual Communications & Image Processing. Saint Petersburg,USA:IEEE,2018:33—37.

    [16] [16] Gaike V, Mhaske R, Sonawane S, et al. Clustering of breast cancer tumor using third order GLCM feature[C]∥ International Conference on Green Computing & Internet of Things.Greater Noida,India:IEEE,2016:8—13.

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    XUE Yuanyuan, ZHANG Xingzhong, ZHAO Jianbin. Study on low Illumination image enhancement based on quantum behaved particle swarm optimization[J]. Optical Technique, 2021, 47(4): 500

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    Paper Information

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    Received: Dec. 11, 2020

    Accepted: --

    Published Online: Sep. 1, 2021

    The Author Email: Yuanyuan XUE (250941362@qq.com)

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