Electro-Optic Technology Application, Volume. 33, Issue 5, 31(2018)

A Novel Algorithm for Low Illumination Image Enhancement Based on LIP and CLAHE

FENG Qing-zhi and WANG Dan
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    References(5)

    [1] [1] Sharma S, Mandavgane R N, Bagade A P. Review on efficient contrast enhancement technique for low illumination color Images[J]. International Journal on Recent Trends in Computing and Communication, 2017, 5(3): 508-511.

    [3] [3] Rahman Z, Jobson D J, Woodell G A. Retinex processing for automatic image enhancement[J]. Journal of Electronic Imaging, 2004, 13(1): 100-110.

    [5] [5] Jourlin M, Pinoli J C. A model for logarithmic image processing[J]. Journal of Microscopy, 1988, 149(1): 21-35.

    [6] [6] Pizer S M, Amburn E P. Adaptive histogram equalization and its variations[J]. Computer Vision Graphics & Image Processing, 1987, 39(3): 355-368.

    [8] [8] Wang Z, Bovik A C, Sheikh H R, et al.Image quality assessment: from error visibility to structural similarity[J].IEEE Transactions on Image Processing, 2004, 13(4): 600-612.

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    [1] GUO Qiang. Single Image Dehazing Algorithm Based on Unsupervised Learning[J]. Electro-Optic Technology Application, 2023, 38(1): 65

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    FENG Qing-zhi, WANG Dan. A Novel Algorithm for Low Illumination Image Enhancement Based on LIP and CLAHE[J]. Electro-Optic Technology Application, 2018, 33(5): 31

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    Paper Information

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    Received: Sep. 2, 2018

    Accepted: --

    Published Online: Jan. 10, 2019

    The Author Email:

    DOI:

    CSTR:32186.14.

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