Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415029(2022)

High Dynamic Range Imaging Method Based on YCbCr Color Space Fusion

Lu Tang1, Rongsheng Lu1、*, Yanqiong Shi2, and Haibing Hu1
Author Affiliations
  • 1College of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, Anhui , China
  • 2College of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230022, Anhui , China
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    References(24)

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    [2] Feng W, Liu H D, Wu G M et al. Gradient domain adaptive tone mapping algorithm based on color correction model[J]. Laser & Optoelectronics Progress, 57, 081007(2020).

    [15] Yang Y C, Li J, Wang Y P. Review of image fusion quality evaluation methods[J]. Journal of Frontiers of Computer Science and Technology, 12, 1021-1035(2018).

    [17] Wang F S, Liu Z N, Fu L J. An improved criminisi image inpainting method based on information entropy and gradient factor[J]. Laser & Optoelectronics Progress, 57, 221006(2020).

    [21] Shao D, Han J W. Inter-transformation between YUV and RGB[J]. Journal of Changchun University, 14, 51-53(2004).

    [22] Xiang F M, Zhu Z Y, Xu J et al. Research on algorithms of color space conversion from YUV to RGB[J]. Modern Electronics Technique, 35, 65-68(2012).

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    Lu Tang, Rongsheng Lu, Yanqiong Shi, Haibing Hu. High Dynamic Range Imaging Method Based on YCbCr Color Space Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415029

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    Paper Information

    Category: Machine Vision

    Received: May. 19, 2021

    Accepted: Jun. 10, 2021

    Published Online: Jul. 1, 2022

    The Author Email: Rongsheng Lu (rslu@hfut.edu.cn)

    DOI:10.3788/LOP202259.1415029

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