Secured Blind Image Watermarking using DWT base with Mixing Random Generator of Lorenz Chaotic System and Geffe Algorithm

Hussein Noori  Saadoon; Ghadah  Al-Khafaji

doi:10.30526/39.3.4433

Authors

Hussein Noori Saadoon Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0009-0002-0870-7337
Ghadah Al-Khafaji Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq https://orcid.org/0009-0004-7439-4740

DOI:

https://doi.org/10.30526/39.3.4433

Keywords:

Copyright, DWT, Lorenz system, Geffe algorithm, Encryption, Watermark

Abstract

In the contemporary electronic era, the significance of safeguarding information has attained crucial proportions. The watermarking technique has been utilized in several contexts for multimedia copyright protection, as it is recognized as one of the most prevalent protective techniques. This paper is concerned with utilizing a secure blind watermarking system based on the frequency domain, along with the new approach that mixes between the Lorenz chaotic system and the Geffe algorithm as a random key generator, to improve the key's randomness for watermark encryption and thereby increase security. The process primarily involves transforming the cover color image into the YCbCr color model and subsequently applying the Discrete Wavelet Transform (DWT) to the Y channel, where the embedding occurs in the high-high (HH) sub-band at four designated locations. The performance of the watermarking system was evaluated on a miscellaneous dataset with ten natural images/hosts of square size 512 x 512 pixels, along with a 64 x 64 binary watermark image. The measures are based on the Normalized Cross-Correlation (NCC), Bit Error Rate (BER), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index Metric (SSIM). The results of the proposed system showed its superiority against prevalent attacks, including noise augmentation attacks, image enhancement assaults, geometric transformation attacks, and JPEG compression attacks. The system demonstrated high NCC values and acceptable imperceptibility

Author Biographies

Hussein Noori Saadoon, Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

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Ghadah Al-Khafaji , Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq

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