A Novel Development Adoptable to Robust Blind Watermarking Techniques for Secure Multimedia Authentication

Abstract

Digital watermarking has become an essential technique for copyright protection, multimedia authentication, ownership verification, and secure information transmission. Conventional watermarking methods suffer from challenges such as low robustness against geometric attacks, poor imperceptibility, vulnerability to noise, and high computational complexity. This research paper proposes a novel robust blind watermarking framework based on a hybrid Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Singular Value Decomposition (SVD), and chaotic encryption approach integrated with adaptive embedding strength optimization. The proposed method aims to improve robustness, imperceptibility, and security simultaneously while enabling blind extraction without requiring the original host image. The watermark is encrypted using chaotic logistic mapping before embedding into selected middle-frequency coefficients obtained from DWT-DCT decomposition. SVD-based singular value modification is employed for enhanced stability against signal processing and geometric attacks. Experimental analysis demonstrates improved Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Normalized Correlation (NC) values compared with conventional methods. The proposed model is highly suitable for applications in copyright protection, medical image security, military communication, e-learning platforms, and secure multimedia transmission.