Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1410012(2023)

Low-Light Image Enhancement Algorithm Based on Multi-Scale Concat Convolutional Neural Network

Weiqiang Liu1, Peng Zhao1、*, and Xiangying Song2
Author Affiliations
  • 1College of Operational Support, Rocket Force University of Engineering, Xi'an 710025, Shaanxi, China
  • 2Troops No.96951, Beijing 100085, China
  • show less
    Figures & Tables(11)
    MCIEN model
    Example images in MIT-Adobe 5K dataset. (a) Low-light images; (b) normal images
    Enhanced results of the first group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
    Enhanced results of the second group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
    Enhanced results of the third group of images. (a) Underexposed image; (b) LIME; (c) LLNet; (d) RetinexNet; (e) MBLLEN; (f) EGAN; (g) DSLR; (h) MIRNet; (i) KinD++; (j) ZDCE; (k) proposed method; (l) expert-retouched image
    Local amplification of the second group of enhanced images. (a) Local amplification of Fig.4(e), MBLLEN; (b) local amplification of Fig.4(h), MIRNet; (c) local amplification of Fig.4(k), proposed method
    Histogram comparison results of the first group of enhanced images. (a) Histogram of Fig.3(e), MBLLEN; (b) histogram of Fig.3(h), MIRNet; (c) histogram of Fig.3(k), proposed method
    Comparison of network model. (a) w/o SK; (b) one SK; (c) w/o CA
    Examples of enhanced image acquired under extreme conditions. (a) Sunrise; (b) Sun_en; (c) Mountain; (d) Moun_en
    • Table 1. Objective evaluation index of different methods for low-light images

      View table

      Table 1. Objective evaluation index of different methods for low-light images

      ParameterLIMELLNetRetinexNetMBLLENEGANDSLRMIRNetZDCEProposed method
      PSNR↑18.7314.6317.6822.0521.7119.3323.8721.4624.43
      SSIM↑0.6380.5880.6510.8690.8560.7580.8890.8360.897
    • Table 2. Comparison of information entropy in ablation experiment

      View table

      Table 2. Comparison of information entropy in ablation experiment

      Image No.UnprocessedIE↑
      w/o SKOne SKw/o CAProposed method
      Average value6.0567.1887.2307.3477.422
      Fig. 3(a)6.1207.4977.4407.5997.644
      Fig. 4(a)5.5347.0597.0777.2657.271
      Fig. 5(a)6.5137.0097.1727.1787.350
    Tools

    Get Citation

    Copy Citation Text

    Weiqiang Liu, Peng Zhao, Xiangying Song. Low-Light Image Enhancement Algorithm Based on Multi-Scale Concat Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1410012

    Download Citation

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

    Category: Image Processing

    Received: Jul. 29, 2022

    Accepted: Sep. 13, 2022

    Published Online: Jul. 17, 2023

    The Author Email: Zhao Peng (zpxhh@163.com)

    DOI:10.3788/LOP222189

    Topics