Raspberry Pi Based Implementation of Audio Watermarking Based on Fibonacci Number

Abstract

Audio watermarking is the technique used for hiding secret information in a host signal and main aim of this system is secure data communication. The security of audio watermarking technique is depends on information embedding and information detection techniques. In this paper we examined both data hiding as well as data extraction technique using FFT (Fast Fourier Transform) and DWT (Discrete Wavelet Transform) based on Fibonacci numbers. This system is implemented in hardware Raspberry pi3 model B too. The principle theme used in proposed method is divide the FFT and DWT spectrum in short frames, and change the samples in each frame by Fibonacci numbers. The frame length and frequency band are the two important parameters used in proposed scheme, can be used to obtain small error rate, high capacity and better robustness. The results shows that scheme has very less error change between original and watermarked signal using FFT, but in case of using DWT the method achieves approximately zero error rate between original and watermarked signal. So the proposed method provides high capacity using both FFT and DWT methods.