DWT based Audio Watermarking using Fibonacci Numbers

Abstract

As the use of digital multimedia data is increasing day by day, the necessity of protecting the data from illegal copyright infringement, fingerprinting and other malicious attacks is also increasing. Watermarking is the process of embedding a piece of secret data to the host data to protect from these attacks. In audio watermarking a piece of data is embedded into the original host signal without affecting the signal quality. There are different techniques available for audio watermarking. In this paper presents a novel high-capacity audio watermarking system to embed data and extract them in a bit-exact manner by changing some of the magnitudes of the DWT spectrum. The key idea is to divide the DWT spectrum into short frames and change the magnitude of the selected DWT samples using Fibonacci numbers. Taking advantage of Fibonacci numbers, it is possible to change the frequency samples adaptively. In fact, the suggested technique guarantees and proves, mathematically, that the maximum change is less than 80% of the related DWT sample and the average error for each sample is 5%. Using the closest Fibonacci number to DWT magnitudes results in a robust and transparent technique. On top of very remarkable capacity, transparency and robustness, this scheme provides two parameters which facilitate the regulation of these properties. The experimental results show that the method has a high capacity (700 bps to 3 kbps), without significant perceptual distortion (ODG is about 1) and provides robustness against common audio signal processing such as echo, added noise, filtering, and MPEG compression (MP3). This implies watermarking based on Fibonacci numbers satisfies most of the watermarking properties.