Title :
An algorithm for intelligent audio watermaking using genetic algorithm
Author :
Ketcham, Mahasak ; Vongprahip, Sartid
Author_Institution :
Chulalongkorn Univ., Bangkok
Abstract :
In this paper, we present an innovative watermarking scheme based on genetic algorithms (GA) in the discrete wavelet transforms, we search for the optimal intensity of watermark by using the adaptive tabu search (ATS) is proposed. It is robust against watermarking attacks, which are commonly employed in literature. In addition, the watermarked image quality is also considered. We employ GA and ATS for the optimal localization and intensity of watermark. The watermark detection process can be performed without using the original audio signal. The experimental results are presented to demonstrate that watermark is inaudible and robust to many digital signal processing, such as cropping, low pass filter, additive noise.
Keywords :
audio coding; discrete wavelet transforms; search problems; watermarking; adaptive tabu seacrh; digital signal processing; discrete wavelet transforms; genetic algorithm; intelligent audio watermarking; optimal localization; watermark optimal intensity; watermarked image quality; Additive noise; Digital signal processing; Discrete wavelet transforms; Genetic algorithms; Image quality; Low pass filters; Noise robustness; Signal processing; Signal processing algorithms; Watermarking;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4425054