A Novel DWT and CTSM-Based Image Watermarking Method

In this paper, a novel image watermarking method on the basis of discrete wavelet transform (DWT) and coupled tent-sine map (CTSM) is proposed. Firstly, CTSM is introduced and then three chaotic sequences are generated by CTSM. The first two sequences are used to encrypt the cover image and the watermark in order to improve the security, and the third one is used to find the embedding and extracting positions in the watermarking method. After that, in the watermarking embedding process, the encrypted watermark is embedded into the found positions, and then the watermarked cover image is gained. Finally, the extracted watermark is obtained by the watermarking extraction process. The security performance test results and the comparison results show that the proposed image watermarking method has good performance in the aspects of invisibility and robustness.

[1]  Yiwei Wang,et al.  A wavelet-based watermarking algorithm for ownership verification of digital images , 2002, IEEE Trans. Image Process..

[2]  Millie Pant,et al.  Multipurpose image watermarking in the domain of DWT based on SVD and ABC , 2017, Pattern Recognit. Lett..

[3]  Navdeep Goel,et al.  Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain , 2017, IET Image Process..

[4]  Rajesh Mehta,et al.  LWT- QR decomposition based robust and efficient image watermarking scheme using Lagrangian SVR , 2015, Multimedia Tools and Applications.

[5]  In-Kwon Lee,et al.  Robustness enhancement for image hiding algorithm in cellular automata domain , 2015 .

[6]  Bo Chen,et al.  From single watermark to dual watermark: A new approach for image watermarking , 2012, Comput. Electr. Eng..

[7]  Rinaldi Munir.  A chaos-based fragile watermarking method in spatial domain for image authentication , 2015, 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA).

[8]  S. Subashini,et al.  A spatiotemporal chaotic image encryption scheme based on self adaptive model and dynamic keystream fetching technique , 2018, Multimedia Tools and Applications.

[9]  Yongsheng Zhao,et al.  A blind double color image watermarking algorithm based on QR decomposition , 2013, Multimedia Tools and Applications.

[10]  Jim Harkin,et al.  Cryptanalysis and Improvement of a Chaotic Map-Control-Based and the Plain Image-Related Cryptosystem , 2019 .

[11]  Yashar Naderahmadian,et al.  Fast Watermarking Based on QR Decomposition in Wavelet Domain , 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

[12]  Shi-Jinn Horng,et al.  An improved SVD-based watermarking technique for copyright protection , 2012, Expert Syst. Appl..

[13]  Yi Cao,et al.  An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers , 2018, Multimedia Tools and Applications.

[14]  Ioannis Pitas,et al.  Robust image watermarking in the spatial domain , 1998, Signal Process..

[15]  Jau-Ji Shen,et al.  Features Classification Forest: A Novel Development that is Adaptable to Robust Blind Watermarking Techniques , 2017, IEEE Transactions on Image Processing.

[16]  Tiegang Gao,et al.  A Novel Encryption Frame for Medical Image with Watermark Based on Hyperchaotic System , 2014 .