Low-light Image Enhancement Method by Variable e-Filter and Multiscale Smoothing-based Image Enhancement

被引:0
|
作者
Mukaida, Mashiho [1 ]
Suetake, Noriaki [1 ]
机构
[1] Yamaguchi Univ, 1677-1 Yoshida, Yamaguchi, Japan
关键词
low-light image; contrast enhancement; noise removal;
D O I
10.1117/12.3018179
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently, a lot of low-light image enhancement methods have been proposed. However, the conventional methods have some problems such as causing over enhancement in bright regions and/or noise amplification in dark regions. In this paper, we propose a new low-light image enhancement method to cope with these problems. In the proposed method, the dark and flat regions, where noise tends to be amplified, are smoothed by applying variable epsilon-filter to the input image. Then, the contrast of image is enhanced by applying multiscale smoothing-based image enhancement method. In the experiments, the effectiveness of the proposed method is verified by comparisons with the state-of-the-art low-light image enhancement methods.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] A survey on image enhancement for Low-light images
    Guo, Jiawei
    Ma, Jieming
    Garcia-Fernandez, Angel F.
    Zhang, Yungang
    Liang, Haining
    HELIYON, 2023, 9 (04)
  • [42] Low-Light Image Enhancement with Normalizing Flow
    Wang, Yufei
    Wan, Renjie
    Yang, Wenhan
    Li, Haoliang
    Chau, Lap-Pui
    Kot, Alex
    THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 2604 - 2612
  • [43] Low-light image enhancement with knowledge distillation
    Li, Ziwen
    Wang, Yuehuan
    Zhang, Jinpu
    NEUROCOMPUTING, 2023, 518 : 332 - 343
  • [44] Low-light Image Enhancement with Domain Adaptation
    Zhang, Yunjie
    Gao, Bin
    2022 INTERNATIONAL CONFERENCE ON VIRTUAL REALITY, HUMAN-COMPUTER INTERACTION AND ARTIFICIAL INTELLIGENCE, VRHCIAI, 2022, : 55 - 60
  • [45] Low-Light Image Enhancement Network Based on Multiscale Interlayer Guidance and Reflection Component Fusion
    Yin, Mohan
    Yang, Jianbai
    IEEE Access, 2024, 12 : 140185 - 140210
  • [46] Low-Light Image Enhancement Based on Constrained Norm Estimation
    Zhao, Tan
    Ding, Hui
    Shang, Yuanyuan
    Zhou, Xiuzhuang
    COMPUTER VISION, PT I, 2017, 771 : 368 - 379
  • [47] A Joint Network for Low-Light Image Enhancement Based on Retinex
    Jiang, Yonglong
    Zhu, Jiahe
    Li, Liangliang
    Ma, Hongbing
    COGNITIVE COMPUTATION, 2024, : 3241 - 3259
  • [48] Variational low-light image enhancement based on a haze model
    Shin J.
    Park H.
    Park J.
    Ha J.
    Paik J.
    IEIE Transactions on Smart Processing and Computing, 2018, 7 (04): : 325 - 331
  • [49] ATTENTION-BASED NETWORK FOR LOW-LIGHT IMAGE ENHANCEMENT
    Zhang, Cheng
    Yan, Qingsen
    Zhu, Yu
    Li, Xianjun
    Sun, Jinqiu
    Zhang, Yanning
    2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2020,
  • [50] Low-light image enhancement of space satellites based on GAN
    Chen Yulang
    Gao Jingmin
    Zhang Kebei
    Zhang Yang
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2021, 41 (03) : 16 - 23