Signal denoising using neighbouring dual-tree complex wavelet coefficients

被引：23
|
作者：
Chen, G. [1 ]
Zhu, W. -P. [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
IET SIGNAL PROCESSING | 2012年 / 6卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
BIVARIATE SHRINKAGE; IMAGE; MULTIWAVELETS; DEPENDENCY;
D O I：
10.1049/iet-spr.2010.0262
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：
Denoising is a very important preprocessing step in signal/image processing. In this study, a new signal denoising algorithm is proposed by using neighbouring wavelet coefficients. The dual-tree complex wavelet transform is employed because of its property of approximate shift invariance, which is very important in signal denoising. Both translation-invariant (TI) and non-TI versions of the denoising algorithm are considered. Experimental results show that the proposed method outperforms other existing methods in the literature for denoising both artificial and real-life noisy signals.
引用
收藏
页码：143 / 147
页数：5
相关论文
共 50 条
  • [21] HYPERSPECTRAL IMAGE DENOISING USING A SPARSE LOWRANK MODEL AND DUAL-TREE COMPLEX WAVELET TRANSFORM
    Palsson, Frosti
    Ulfarsson, Magnus O.
    Sveinsson, Johannes R.
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 3670 - 3673
  • [22] Image Denoising Network Based on Subband Information Sharing Using Dual-Tree Complex Wavelet
    Kui Liu
    Yiping Guo
    Benyue Su
    Neural Processing Letters, 2023, 55 : 10975 - 10991
  • [23] Image denoising using neighbouring wavelet coefficients
    Chen, GY
    Bui, TD
    Krzyzak, A
    INTEGRATED COMPUTER-AIDED ENGINEERING, 2005, 12 (01) : 99 - 107
  • [24] Image denoising using neighbouring wavelet coefficients
    Chen, GY
    Bui, TD
    Krzyzak, A
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS, 2004, : 917 - 920
  • [25] The dual-tree complex wavelet transform
    Selesnick, IW
    Baraniuk, RG
    Kingsbury, NG
    IEEE SIGNAL PROCESSING MAGAZINE, 2005, 22 (06) : 123 - 151
  • [26] SAR image denoising based on wedgelet and dual-tree complex wavelet transform
    Liu, Fang
    Liu, Junying
    2007 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS, VOLS 1 AND 2, 2007, : 240 - 243
  • [27] Noise suppression in the dual-tree complex wavelet domain for seismic signal
    Meng K.
    Li J.
    Li Y.
    Journal of Petroleum Exploration and Production Technology, 2017, 7 (2) : 353 - 359
  • [28] Image denoising in undecimated dual-tree complex wavelet domain using multivariate t-distribution
    Mansoore Saeedzarandi
    Hossein Nezamabadi-pour
    Saeid Saryazdi
    Ahad Jamalizadeh
    Multimedia Tools and Applications, 2020, 79 : 22447 - 22471
  • [29] A Novel Image Denoising Method Using Independent Component Analysis And Dual-Tree Complex Wavelet Transform
    Zhang, Shi
    Tang, Tingting
    Wu, Chunli
    Xi, Ning
    Wang, Gang
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [30] Image denoising in undecimated dual-tree complex wavelet domain using multivariate t-distribution
    Saeedzarandi, Mansoore
    Nezamabadi-pour, Hossein
    Saryazdi, Saeid
    Jamalizadeh, Ahad
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (31-32) : 22447 - 22471
12345