DCT based Multi Exposure Image Fusion

被引:0
|
作者
Martorell, O. [1 ]
Sbert, C.
Buades, A.
机构
[1] Univ Balearic Isl, Dept Math & Comp Sci, Cra Valldemossa Km 7-5, Palma De Mallorca 07122, Illes Balears, Spain
来源
VISAPP: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 4 | 2019年
关键词
Multi-exposure Images; Image Fusion; DCT Transform;
D O I
10.5220/0007356701150122
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We propose a novel algorithm for multi-exposure fusion (MEF). This algorithm decomposes image patches with the DCT transform. Coefficients from patches with different exposure are combined. The luminance and chrominance of the different images are fused separately. Details of the fused image are finally enhanced as a post-processing. Experiments with several data sets show that the proposed algorithm performs better than state-of-the-art.
引用
收藏
页码:115 / 122
页数:8
相关论文
共 50 条
  • [21] Multi-exposure microscopic image fusion-based detail enhancement algorithm
    Singh, Harbinder
    Cristobal, Gabriel
    Bueno, Gloria
    Blanco, Saul
    Singh, Simrandeep
    Hrisheekesha, P. N.
    Mittal, Nitin
    ULTRAMICROSCOPY, 2022, 236
  • [22] Two-Scale Image Fusion Algorithm Based on Improved PCNN and DCT
    Wang M.
    Chen J.
    Shang X.
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 34 (08): : 1216 - 1228
  • [23] Improved Multi-exposure Image Pyramid Fusion Method
    Liu Xin-long
    Yi Hong-wei
    ACTA PHOTONICA SINICA, 2019, 48 (08)
  • [24] Benchmarking and comparing multi-exposure image fusion algorithms
    Zhang, Xingchen
    INFORMATION FUSION, 2021, 74 (74) : 111 - 131
  • [25] Comparison of Image Fusion based on DCT-STD and DWT-STD
    Lee, Chu-Hui
    Zhou, Zheng-Wei
    INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, IMECS 2012, VOL I, 2012, : 720 - 725
  • [26] A Precise Multi-Exposure Image Fusion Method Based on Low-level Features
    Qi, Guanqiu
    Chang, Liang
    Luo, Yaqin
    Chen, Yinong
    Zhu, Zhiqin
    Wang, Shujuan
    SENSORS, 2020, 20 (06)
  • [27] GANFuse: a novel multi-exposure image fusion method based on generative adversarial networks
    Yang, Zhiguang
    Chen, Youping
    Le, Zhuliang
    Ma, Yong
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (11) : 6133 - 6145
  • [28] IID-MEF: A multi-exposure fusion network based on intrinsic image decomposition
    Zhang, Hao
    Ma, Jiayi
    INFORMATION FUSION, 2023, 95 : 326 - 340
  • [29] Adaptive fusion of multi-exposure images based on perceptron model
    Mei, Jianqiang
    Chen, Wanyan
    Li, Biyuan
    Li, Shixin
    Zhang, Jun
    Yan, Jun
    APPLIED MATHEMATICS AND NONLINEAR SCIENCES, 2023, 9 (01)
  • [30] GANFuse: a novel multi-exposure image fusion method based on generative adversarial networks
    Zhiguang Yang
    Youping Chen
    Zhuliang Le
    Yong Ma
    Neural Computing and Applications, 2021, 33 : 6133 - 6145