Laser & Optoelectronics Progress, Volume. 55, Issue 5, 051002(2018)

Contrast Adjustment Based on Image Retrieval

Yanjia Fei and Feng Shao*
Author Affiliations
  • Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China
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    Figures & Tables(11)
    Overall frameworkof algorithm
    Enhancement of context-sensitive and context-free. (a) Original image; (b) context-sensitive; (c) context-free
    Visual threshold and image background brightness curve
    (a) CLAHE transform after adaptive brightness equalize; (b) CLAHE transform
    Enhanced image with brightness adjustment module corresponding to different optimal solutions. (a) CLAHE as optimal solution; (b) CLAHE transform after brightness equalize as optimal solution
    Reference image and image to be enhanced and its quality score. (a)-(g) Reference images; (h)-(n) images to be enhanced
    Average score of subjective evaluation
    Average score of NIQE, NIQMC, clarity
    Weak contrast images treated by different methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (e) ROHIM method; (f) proposed method
    Dark image treated by diffeent methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (e) ROHIM method; (f) proposed method
    Night image treated by different methods. (a) Original image; (b) AGWD method; (c) BIQME method; (d) GICE method; (d) ROHIM method; (f) proposed method
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    Yanjia Fei, Feng Shao. Contrast Adjustment Based on Image Retrieval[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051002

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    Paper Information

    Category: Image processing

    Received: Sep. 26, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Shao Feng (shaofeng@nbu.edu.cn)

    DOI:10.3788/LOP55.051002

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