Journal of Applied Optics, Volume. 45, Issue 4, 819(2024)

Low-level-light image enhancement method based on Retinex theory by improving dual components

Huateng CHEN1, Lei LIU1、*, Yunsheng QIAN1, Weitao DENG1, and Feng SHI2
Author Affiliations
  • 1School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2Key Laboratory of Low-Light-Level Night Vision Technology, Xi'an 710065, China
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    References(24)

    [1] TALAULIKAR A S, SANATHANAN S, MODI C N. An enhanced approach for detecting helmet on motorcyclists using image processing and machine learning techniques[M]. Advanced Computing and Communication Technologies, 109-119(2018).

    [3] REDMON J, DIVVALA S, GIRSHICK R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

    [4] LI J, WANG Y B, WANG C G et al. DSFD: dual shot face detector[C], 5055-5064(2019).

    [5] ZHU X K, LYU S C, WANG X et al. TPH-YOLOv5: improved YOLOv5 based on transformer prediction head for object detection on drone-captured scenarios[C], 2778-2788(2021).

    [8] HE L, LUO L, SHANG J. An image enhancement algorithm based on retinex theory[J]. IEEE, 2, 350-352(2009).

    [9] LI L, WANG R G, WANG W M et al. A low-light image enhancement method for both denoising and contrast enlarging[C], 3730-3734(2015).

    [13] BANIK P P, SAHA R, KIM K D. Contrast enhancement of low-light image using histogram equalization and illumination adjustment[C], 1-4(2018).

    [18] DONG X, WANG G, PANG Y et al. Fast efficient algorithm for enhancement of low lighting video[C], 1-6(2011).

    [19] CAO L X, MA Z F, SHI J. Adaptive non-uniform low illumination image enhancement algorithm based on Retinex[J]. Computer Measurement and Control, 28, 155-159(2020).

    [21] YING Z Q, LI G, REN Y R et al. A new low-light image enhancement algorithm using camera response model[C], 3015-3022(2017).

    [22] LORE K G, AKINTAYO A, SARKAR S. LLNet: A deep autoencoder approach to natural low-light image enhancement[J]. Pattern Recognition, 61, 650-662(2017).

    [23] WEI C, WANG W, YANG W et al. Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv, 1808, 04560-1-12(2018).

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    Huateng CHEN, Lei LIU, Yunsheng QIAN, Weitao DENG, Feng SHI. Low-level-light image enhancement method based on Retinex theory by improving dual components[J]. Journal of Applied Optics, 2024, 45(4): 819

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    Paper Information

    Category: Research Articles

    Received: Jun. 21, 2023

    Accepted: --

    Published Online: Oct. 21, 2024

    The Author Email: Lei LIU (刘磊)

    DOI:10.5768/JAO202445.0404001

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