Title: Digital image watermarking based on hybrid FRT-HD-DWT domain and flamingo search optimisation

Authors: P.J.R. Shalem Raju; K.V.D. Kiran; Pokkuluri Kiran Sree

Addresses: Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, West Godavari District, Andhra Pradesh, India ' Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India ' Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, West Godavari District, Andhra Pradesh, India

Abstract: The image watermarking topologies afford a promising solution in digital media copyright protection. However, it is essential to take into account the robustness of watermarking methods. Therefore, in this paper, a digital image watermarking technique based on finite ridgelet transform (FRT), discrete wavelet transform (DWT), and Hessenberg decomposition (HD) is proposed. The FRT and HD methods are hybridised with DWT to enhance the embedding capacity. Likewise, the embedding strength factor is also optimised through a flamingo search algorithm (FSA). After embedding the extraction process is carried out with deep belief neural (DBN) network. The experiments are conducted on four kinds of host images like Lena, house, baboon, and Barbara in MATLAB platform. The results are compared with different models in terms of peak signal to noise ratio (PSNR), normalisation coefficient (NC), and structural similarity index measure (SSIM) under various geometric attacks.

Keywords: image watermarking; finite ridgelet transform; FRT; flamingo search algorithm; FSA; Hessenberg decomposition; strength factor; discrete wavelet transform; DWT.

DOI: 10.1504/IJCVR.2023.134319

International Journal of Computational Vision and Robotics, 2023 Vol.13 No.6, pp.573 - 598

Received: 11 Nov 2021
Accepted: 04 Feb 2022
Published online: 18 Oct 2023 *

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