Study of wavelets using chaotic map on DWT based blind video watermarking

In the past decade there has been rapid growth in distribution and transmission of digital data. Due to easy access to internet and all the digital media such as audios, images, digital documents and videos, there arises the concern over copyright protection of digital content. As an effective solution to this problem, concept of digital watermarking has been used. Watermarks can be of the form images, text, binary logos, signatures, and numbers. They are used for storing information about the copyright owner, source of data, and authentic users. In the proposed work, video watermarking technique has been proposed which highlights comparative analysis of Daubechies (db) wavelets based on different quality parameters. Each of the db wavelets is applied on the randomly selected frames from the input coloured video using random number generated by chaotic logistic map that works as a key for the proposed extraction algorithm. The study of proposed work shows that not all db wavelets support watermarking scheme. Out of 45 wavelets, 10 db wavelets were applicable for watermarking. The original watermark image and the extracted watermark image are then used against various quality parameters to check if the imperceptibility of the watermark is retained after watermark extraction. The proposed watermarking scheme is robust against various quality parameters such as peak-signal-to-noise ratio, mean-square error, maximum difference, and normalized absolute error.