Hardware Implementation of a Fast 3D Anaglyph Image Watermarking Framework for Integration in Consumer Electronics Devices

Abstract

Due to the unprecedented growth of the internet and portable consumer imaging devices, copyright protection of digital images has become a topical affair. In this paper, a fast Tensor-SVD based red-cyan anaglyph 3D image watermarking has been presented which provides high imperceptibility, and robustness. To integrate the Human Visual System modelling into our framework, integer lifting wavelet transform has been incorporated. After that, the watermark has been infused within the first diagonal matrix generated by Tensor-SVD. The proposed method is free from false positive issues due to its total insertion-based approach. Furthermore, the proposed method is also implemented in a low-power Single Board Computer for seamless integration in personal and industrial consumer imaging devices. Moreover, the watermark’s security has been further increased by encrypting it with Arnold’s Cat Map based cryptic algorithm. Qualitative and quantitative comparison with various state-of-the-art methods justifies the superiority of the suggested algorithm under most form of signal processing, and geometric impairments.