The development of the quaternion wavelet transform

被引:47
|
作者
Fletcher, P. [1 ]
Sangwine, S. J. [1 ]
机构
[1] Univ Essex, Sch Comp Sci & Elect Engn, Wivenhoe Pk, Colchester CO4 3SQ, Essex, England
关键词
Quaternion wavelet transform; Quaternion STFT; TEXTURE CLASSIFICATION; ORTHONORMAL BASES; IMAGE-ANALYSIS; PHASE; EXTRACTION; MODEL;
D O I
10.1016/j.sigpro.2016.12.025
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The purpose of this article is to review what has been written on what other authors have called quaternion wavelet transforms (QWTs): there is no consensus about what these should look like and what their properties should be. We briefly explain what real continuous and discrete wavelet transforms and multiresolution analysis are and why complex wavelet transforms were introduced; we then go on to detail published approaches to QWTs and to analyse them. We conclude with our own analysis of what it is that should define a QWT as being truly quaternionic and why all but a few of the "QWTs" we have described do not fit our definition.
引用
收藏
页码:2 / 15
页数:14
相关论文
共 50 条
  • [31] Visual objects tracking and identification based on reduced quaternion wavelet transform
    Shan Gai
    Limin Luo
    Signal, Image and Video Processing, 2014, 8 : 75 - 84
  • [32] Image fusion scheme based on quaternion wavelet transform and sparse representation
    Chang L.
    Feng X.
    Zhang R.
    1633, Chinese Institute of Electronics (39): : 1633 - 1639
  • [33] Hidden Markov tree model of images using quaternion wavelet transform
    Gai, Shan
    Yang, Guowei
    Wan, Minghua
    Wang, Lei
    COMPUTERS & ELECTRICAL ENGINEERING, 2014, 40 (03) : 819 - 832
  • [34] Super Resolution Enhancement of Medical Image Using Quaternion Wavelet Transform with SVD
    VijayKumar, V. R.
    Vidya, A.
    Sharumathy, M.
    Kanizohi, R.
    2017 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATION AND NETWORKING (ICSCN), 2017,
  • [35] Vector extension of quaternion wavelet transform and its application to colour image denoising
    Gai, Shan
    Bao, Zhongyun
    Zhang, Kaige
    IET SIGNAL PROCESSING, 2019, 13 (02) : 133 - 140
  • [36] Tighter Heisenberg–Weyl type uncertainty principle associated with quaternion wavelet transform
    Xinyu Wang
    Shenzhou Zheng
    Journal of Pseudo-Differential Operators and Applications, 2023, 14
  • [37] Video segmentation of multiresolution dynamic spatiotemporal model based on quaternion wavelet transform
    Hu, Weihua
    Gu, Liang
    APPLIED SCIENCE, MATERIALS SCIENCE AND INFORMATION TECHNOLOGIES IN INDUSTRY, 2014, 513-517 : 3822 - 3829
  • [38] Uncertainty principles for the right-sided multivariate continuous quaternion wavelet transform
    Tefjeni, Emna
    Brahim, Kamel
    INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2020, 31 (08) : 669 - 684
  • [39] The continuous quaternion algebra-valued wavelet transform and the associated uncertainty principle
    Youssef El Haoui
    Journal of Pseudo-Differential Operators and Applications, 2021, 12
  • [40] Quaternion empirical wavelet transform and its applications in rolling bearing fault diagnosis
    Zhang, Kun
    Deng, Yunjie
    Chen, Peng
    Ma, Chaoyong
    Xu, Yonggang
    MEASUREMENT, 2022, 195