Fractional M-band dual tree complex wavelet transform for digital watermarking

被引:0
|
作者
HARPAL SINGH
LAKHWINDER KAUR
KULBIR SINGH
机构
[1] Rayat-Bahra Institute of Engineering and Bio-technology,
[2] University College of Engineering,undefined
[3] Punjabi University,undefined
[4] Thapar University,undefined
来源
Sadhana | 2014年 / 39卷
关键词
Fractional M-band dual tree complex wavelet transform (Fr-M-band-DT-CWT); fractional fourier transform (FrFT); fractional wavelet transform (FrWT); multiresolution watermarking.;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a novel digital watermarking scheme using fractional M-band dual tree complex wavelet transform (Fr-M-band-DT-CWT) is proposed. High frequency channels have wide bandwidth and low frequency channels have narrow bandwidth. These characteristics are suitable for analysing low frequency signal, but not for relatively high frequency signal. The images often contain many edges, which may cause rich middle and high frequency components in the 2-band wavelet domain. Therefore, the ordinary 2-band dual tree complex wavelet transform (DT-CWT) is not well-suited for analysing the image. So, the M-band DT-CWT with the FrFT called Fr-M-band-DT-CWT is proposed in this paper to address this problem. Further, we integrate the Fr-M-Band-DT-CWT with singular value decomposition (SVD) in order to enhance the performance. Experimental results of the proposed watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results of the present investigations show that the proposed watermarking scheme is superior as compared to other existing watermarking schemes.
引用
收藏
页码:345 / 361
页数:16
相关论文
共 50 条
  • [31] Seismic data compression using M-band wavelet transform
    Chengdu Ligong Xueyuan Xuebao, 2 (183-186):
  • [32] Two texture segmentation using M-band wavelet transform
    Acharyya, M
    Kundu, MK
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS: IMAGE, SPEECH AND SIGNAL PROCESSING, 2000, : 401 - 404
  • [33] A fast implementation of wavelet transform for m-band filter banks
    Tian, J
    Wells, RO
    WAVELET APPLICATIONS V, 1998, 3391 : 534 - 545
  • [34] Adaptive volterra filtering using M-band wavelet transform
    Kim, BW
    Lee, YM
    Nam, SW
    ELECTRONICS LETTERS, 2000, 36 (01) : 94 - 96
  • [35] Quantum and dual-tree complex wavelet transform-based image watermarking
    Ghai, Deepika
    Gianey, Hemant Kumar
    Jain, Arpit
    Uppal, Raminder Singh
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2020, 34 (04):
  • [36] WATERMARKING METHOD USING DUAL-TREE COMPLEX DISCRETE WAVELET TRANSFORM AND QUANTIZATION
    Shimoshimbara, Masayuki
    Muraoka, Ken
    Minamoto, Teruya
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCEON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2022, : 13 - 18
  • [37] Subband block coding of images through M-band wavelet transform
    Hou, B
    Jiao, LC
    2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III, 2000, : 1106 - 1109
  • [38] The M-band wavelets in image watermarking
    Fang, YM
    Bi, N
    Huang, D
    Huang, JW
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 117 - 120
  • [39] The dual-tree complex wavelet transform
    Selesnick, IW
    Baraniuk, RG
    Kingsbury, NG
    IEEE SIGNAL PROCESSING MAGAZINE, 2005, 22 (06) : 123 - 151
  • [40] Multidirectional and multiscale edge detection via M-band wavelet transform
    Aydin, T
    Yemez, Y
    Anarim, E
    Sankur, B
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1996, 5 (09) : 1370 - 1377