Blind Digital Image Watermarking using Henon Chaotic Map and Elliptic Curve Cryptography in Discrete Wavelets with Singular Value Decomposition

Copyright protection of digital images has become vital in the modern era where multimedia content is the dominant form of traffic in networked multimedia communication systems. Hence, there is a need for building technologies around robustness and computational efficiency for watermark embedding and extraction through state-of-the-art cryptographic algorithms. In this paper, we have proposed a blind image watermarking system that applies Henon chaotic map for watermark embedding and Elliptic Curve Cryptography (ECC) for securely sending the algorithmic parameters to the receiver. Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) are utilised for hybrid decomposition of the host image. The metrices used for the evaluation of the robustness and imperceptibility of this watermarking system are the Peak Signal to Noise Ratio (PSNR) and Normalized Cross-Correlation (NC) and the Central Processing Unit (CPU) runtime was recorded in order to assess the system’s execution speed.