A Comparative Analysis of Wavelet Families for Invisible Image Embedding

In contemporary world, fame of digital video-based applications is among the necessity for copyright protection so as to avoid criminal repeating and distribution of digital data. Digital representation offers many advantages for processing and distributing video and other types of information. Copyright protection adds authentication redundant knowledge in original data like the possession details and owner logo within the digital media while not compromising its sensory activity quality. In this article, we analyze the performance of wavelet functions, viz., Haar, Daubechies, symmetric, and biorthogonal for invisible image embedding. The embedding and extraction processes are deployed using the number theory concept of embedding.