Hybrid technique for robust image watermarking using discrete time fourier transform

The current paper proposes a novel scheme for non-blind watermarking of images, making use of discrete wavelet transform (DWT), discrete time Fourier transform (DTFT), as well as singular value decomposition, or SVD. During the process of embedding, 1-level DWT is used to decompose the host image into its various frequency sub-bands. After this, the high-frequency sub band receives an application of DTFT. This is followed then by SVD, after which the watermark becomes embedded into the now-transformed host image's singular matrix. Then, the inverses of 1-level DWT, DTFT and SVD are applied in order to obtain a watermarked final image. This paper evaluates the performance of the proposed method of watermarking against a number of attacks, including sharpening, salt and pepper noise, AWGN, gamma correction, histogram equalisation, flipping and cropping. Results obtained during experiments have found that the scheme as proposed does provide high levels of robustness and imperceptibility against various signal processing attacks.

[1]  R. S. Rajesh,et al.  Robust discrete wavelet-fan beam transforms-based colour image watermarking , 2011 .

[2]  Amit Kumar Singh,et al.  Hybrid Technique for Robust and Imperceptible Image Watermarking in DWT–DCT–SVD Domain , 2014, National Academy Science Letters.

[3]  Madhuri Rajawat,et al.  A Secure Watermarking and Tampering Detection Technique on RGB Image Using 2 Level DWT , 2015, 2015 Fifth International Conference on Communication Systems and Network Technologies.

[4]  D. Sundararajan A Practical Approach to Signals and Systems , 2008 .

[5]  Benjamin C. Lee,et al.  A sensitivity measure for image reconstruction from irregular 2-D DTFT samples , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Amit Kumar Singh,et al.  Robust and Imperceptible Dual Watermarking for Telemedicine Applications , 2014, Wireless Personal Communications.

[7]  Shuo-Tsung Chen,et al.  Improving SVD-based image watermarking via block-by-block optimization on singular values , 2015, EURASIP J. Image Video Process..

[8]  E. Nagabhooshanam,et al.  A novel image zero-watermarking scheme based on DWT-BN-SVD , 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).

[9]  Muhammad Ahsan Ullah,et al.  Digital image watermarking based on DWT-DCT: Evaluate for a new embedding algorithm , 2014, 2014 International Conference on Informatics, Electronics & Vision (ICIEV).

[10]  Ling-Yuan Hsu,et al.  Robust blind image watermarking by modulating the mean of partly sign-altered DCT coefficients guided by human visual perception , 2016 .

[11]  Amit Kumar Singh,et al.  Iris based secure NROI multiple eye image watermarking for teleophthalmology , 2016, Multimedia Tools and Applications.

[12]  Seyed Mojtaba Mousavi,et al.  Watermarking Techniques used in Medical Images: a Survey , 2014, Journal of Digital Imaging.

[13]  Taha H. Rassem,et al.  Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics , 2016, IET Image Process..

[14]  A. Willsky,et al.  Signals and Systems , 2004 .

[15]  Rajeev Kumar Singh,et al.  A Survey: Digital Image Watermarking Techniques , 2014 .

[16]  Gholamreza Anbarjafari,et al.  A watermarking algorithm based on chirp z-transform, discrete wavelet transform, and singular value decomposition , 2015, Signal Image Video Process..

[17]  Chih-Chin Lai,et al.  Digital Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition , 2010, IEEE Transactions on Instrumentation and Measurement.