Acta Photonica Sinica, Volume. 49, Issue 4, 0410001(2020)

Infrared and Low-light-level Visible Light Enhancement Image Fusion Method Based on Latent Low-rank Representation and Composite Filtering

Ze-tao JIANG1... Qi JIANG1,*, Yong-song HUANG1 and Shao-qin ZHANG2 |Show fewer author(s)
Author Affiliations
  • 1Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
  • 2Nanchang Hangkong University, Nangchang 330063, China
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    References(22)

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    [15] [15] LIU G, LIN Z, YU Y. Robust subspace segmentation by lowrank representation[C]. Proceedings of the 27th International Conference on Machine Learning, 2010.

    [16] [16] LIU G, YAN S. Latent lowrank representation f subspace segmentation feature extraction[C].2011 International Conference on Computer Vision, IEEE, 2011: 16151622.

    [20] [20] ACHANTA R, HEMAMI S, ESTRADA F, et al. Frequencytuned salient region detection[C].IEEE International Conference on Computer Vision Pattern Recognition (CVPR 2009), 2009: 15971604.

    [22] [22] ZHAI Y, SHAH M. Visual attention detection in video sequences using spatiotempal cues[C].Proceedings of the 14th ACM international conference on Multimedia, ACM, 2006: 815824.

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    Ze-tao JIANG, Qi JIANG, Yong-song HUANG, Shao-qin ZHANG. Infrared and Low-light-level Visible Light Enhancement Image Fusion Method Based on Latent Low-rank Representation and Composite Filtering[J]. Acta Photonica Sinica, 2020, 49(4): 0410001

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    Paper Information

    Category: Image Processing

    Received: Nov. 5, 2019

    Accepted: Dec. 9, 2019

    Published Online: Apr. 24, 2020

    The Author Email: JIANG Qi (597796862@qq.com)

    DOI:10.3788/gzxb20204904.0410001

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