Optics and Precision Engineering, Volume. 32, Issue 20, 3099(2024)

A self correcting low-light object detection method based on pyramid edge enhancement

Zhanjun JIANG... Baijing WU*, Long MA and Jing LIAN |Show fewer author(s)
Author Affiliations
  • School of Electronics & Information Engineering,Lanzhou Jiaotong University, Lanzhou730070,China
  • show less
    References(38)

    [1] S X GUI, S SONG, R J QIN et al. Remote sensing object detection in the deep learning era-a review. Remote Sensing, 16, 327(2024).

    [3] A VIJAYAKUMAR, S VAIRAVASUNDARAM. YOLO-based object detection models: a review and its applications. Multimedia Tools and Applications, 83, 83535-83574(2024).

    [6] A DUDHANE, S W ZAMIR, S KHAN et al. Burst image restoration and enhancement. IEEE Transactions on Pattern Analysis and Machine Intelligence(2024).

    [7] N S ZHENG, M ZHOU, Y M DONG et al. Empowering low-light image enhancer through customized learnable priors, 12525-12535(2023).

    [8] Z T JIANG, Y XIAO, S Q ZHANG et al. Low-illumination object detection method based on dark-YOLO. Journal of Computer-Aided Design & Computer Graphics, 35, 441-451(2023).

         江泽涛, 肖芸, 张少钦. 基于Dark-YOLO的低照度目标检测方法. 计算机辅助设计与图形学学报, 35, 441-451(2023).

    [9] 刘忻伟, 朴永杰, 郑亮亮. 面向航天光学遥感复杂场景图像的舰船检测. 光学 精密工程, 31, 892-904(2023).

         X W LIU, Y J PIAO, L L ZHENG et al. Ship detection for complex scene images of space optical remote sensing. Opt. Precision Eng., 31, 892-904(2023).

    [10] C L GUO, C Y LI, J C GUO et al. Zero-reference deep curve estimation for low-light image enhancement, 1777-1786(2020).

    [11] 黄慧, 董林鹭, 刘小芳. 改进Retinex的低光照图像增强. 光学 精密工程, 28, 1835-1849(2020).

         H HUANG, L L DONG, X F LIU et al. Improved retinex low light image enhancement method. Opt. Precision Eng., 28, 1835-1849(2020).

    [13] C Y LI, L GE. Lightweight low-light object detection algorithm based on YOLOv7. Laser & Optoelectronics Progress, 61, 3788(2024).

         李昶昱, 葛磊. 基于YOLOv7的轻量级低照度目标检测算法. 激光与光电子学进展, 61, 3788(2024).

    [14] K WANG, M Z LIU. Object recognition at night scene based on DCGAN and faster R-CNN. IEEE Access, 8, 193168-193182(2020).

    [15] Y X XIAO, A W JIANG, J H YE et al. Making of night vision: object detection under low-illumination. IEEE Access, 8, 123075-123086(2020).

    [17] Z T SHU, Z B ZHANG, Y Z SONG et al. Low-light image object detection based on improved YOLOv5 algorithm. Laser & Optoelectronics Progress, 60, 67-74(2023).

         舒子婷, 张泽斌, 宋尧哲. 基于改进YOLOv5的低光照图像目标检测. 激光与光电子学进展, 60, 67-74(2023).

    [18] X C YIN, Z D YU, Z T FEI et al. PE-YOLO: pyramid enhancement network for dark object detection, 163-174(2023).

    [19] H Q WANG, K WANG. Real-time detection of insulator defects under haze weather based on DMSANet-YOLOv7. Radio Engineering, 54, 1431-1439(2024).

         王海群, 王康. 基于DMSANet-YOLOv7的雾霾下绝缘子缺陷实时检测方法. 无线电工程, 54, 1431-1439(2024).

    [20] 吕伏, 崔向燕, 刘铁. 亮度均衡与边缘强化的多尺度低照度图像增强算法. 激光与光电子学进展, 61, 3788(2024).

         F LÜ, X Y CUI, T LIU. Multiscale low-light image enhancement algorithm with brightness equalization and edge enhancement algorithm. Laser & Optoelectronics Progress, 61, 3788(2024).

    [21] W J GU, C DING, J WEI et al. Low-light image enhancement based on the fusion of Bilateral filter MSR and AutoMSRCR. Opt. Precision Eng., 31, 3606-3617(2023).

         顾文娟, 丁灿, 魏金. 基于双边滤波MSR与AutoMSRCR融合的低光照图像增强. 光学 精密工程, 31, 3606-3617(2023).

    [22] J N ZHANG, X T LI, J LI et al. Rethinking mobile block for efficient attention-based models, 1389-1400(2023).

    [23] J J LIU, Q B HOU, M M CHENG et al. Improving convolutional networks with self-calibrated convolutions, 10093-10102(2020).

    [24] Y P LOH, C S CHAN. Getting to know low-light images with the Exclusively Dark dataset. Computer Vision and Image Understanding, 178, 30-42(2019).

    [25] L S XU, S H DONG, H T WEI et al. Defect signal intelligent recognition of weld radiographs based on YOLO V5-IMPROVEMENT. Journal of Manufacturing Processes, 99, 373-381(2023).

    [26] C Y WANG, A BOCHKOVSKIY, H Y M LIAO. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 7464-7475(2023).

    [27] F M TALAAT, H ZAINELDIN. An improved fire detection approach based on YOLO-v8 for smart cities. Neural Computing and Applications, 35, 20939-20954(2023).

    [28] C L GUO, C Y LI, J C GUO et al. Zero-reference deep curve estimation for low-light image enhancement, 1777-1786(2020).

    [29] W Y LIU, G F REN, R S YU et al. Image-adaptive YOLO for object detection in adverse weather conditions. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 1792-1800(2022).

    CLP Journals

    [1] Haiyi LIU, Zhengzhou LI, Aoran LI, Haitao LIU. Knowledge graph-based method for infrared target component recognition[J]. Optics and Precision Engineering, 2025, 33(9): 1446

    [2] Haiyi LIU, Zhengzhou LI, Aoran LI, Haitao LIU. Knowledge graph-based method for infrared target component recognition[J]. Optics and Precision Engineering, 2025, 33(9): 1446

    Tools

    Get Citation

    Copy Citation Text

    Zhanjun JIANG, Baijing WU, Long MA, Jing LIAN. A self correcting low-light object detection method based on pyramid edge enhancement[J]. Optics and Precision Engineering, 2024, 32(20): 3099

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Apr. 30, 2024

    Accepted: --

    Published Online: Jan. 10, 2025

    The Author Email: Baijing WU (12211816@ stu.lzjtu.edu.cn)

    DOI:10.37188/OPE.20243220.3099

    Topics