Vol.70, No.3, 2022, pp.4657-4673, doi:10.32604/cmc.2022.020338
OPEN ACCESS
ARTICLE
Analytic Beta-Wavelet Transform-Based Digital Image Watermarking for Secure Transmission
  • Hesham Alhumyani1,*, Ibrahim Alrube1, Sameer Alsharif1, Ashraf Afifi1, Chokri Ben Amar1, Hala S. El-Sayed2, Osama S. Faragallah3
1 Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. 11099, Taif, 21944, Saudi Arabia
2 Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebin El-Kom, 32511, Egypt
3 Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. 11099, Taif, 21944, Saudi Arabia
* Corresponding Author: Hesham Alhumyani. Email:
Received 20 May 2021; Accepted 26 July 2021; Issue published 11 October 2021
Abstract
The rapid development in the information technology field has introduced digital watermark technologies as a solution to prevent unauthorized copying and redistribution of data. This article introduces a self-embedded image verification and integrity scheme. The images are firstly split into dedicated segments of the same block sizes. Then, different Analytic Beta-Wavelet (ABW) orthogonal filters are utilized for embedding a self-segment watermark for image segment using a predefined method. ABW orthogonal filter coefficients are estimated to improve image reconstruction under different block sizes. We conduct a comparative study comparing the watermarked images using three kinds of ABW filters for block sizes 64 × 64, 128 × 128, and 256 × 256. We embed the watermark using the ABW-based image watermarking method in the 2-level middle frequency sub-bands of the ABW digital image coefficients. The imperceptibility and robustness of the ABW-based image watermarking method image is evaluated based on the Peak Signal to Noise Ratio (PSNR) and Correlation coefficient values. From the implementation results, we came to know that this ABW-based image watermarking method can withstand many image manipulations compared to other existing methods.
Keywords
Watermarking; ABW; median filtering; JPEG compression; PSNR
Cite This Article
Alhumyani, H., Alrube, I., Alsharif, S., Afifi, A., Amar, C. B. et al. (2022). Analytic Beta-Wavelet Transform-Based Digital Image Watermarking for Secure Transmission. CMC-Computers, Materials & Continua, 70(3), 4657–4673.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.