Wavelet-Based Entropy for Digital Audio Watermarking

Author

Chen, Shuo-Tsung ; Huang, Huang-Nan ; Hsu, Chih-Yu ; Tseng, Kuo-Kun ; Wu, Chun-Hua ; Pan, Jeng-Shyang

Author_Institution

Asian Inst. of TeleSurgery, Chang Bing Show Chwan Memorial Hosp., Lukang, Taiwan

fYear

2011

fDate

14-16 Oct. 2011

Firstpage

61

Lastpage

64

Abstract

Unlike traditional entropy in information theory, this work uses the normalized energy instead of probability to obtain a low-frequency amplitude transform (LAT) on coefficients of discrete wavelet transform (DWT). The watermark is embedded based on the properties and characteristics of this transform. Finally, performance of the proposed scheme is assessed by signal-to-watermark (SWR) and bit error rate (BER). Experimental results demonstrate that the embedded data are robust against most signal processing and attacks, such as re-sampling, low-pass filtering, and amplitude-scaling.

Keywords

audio watermarking; discrete wavelet transforms; entropy; error statistics; probability; BER; DWT coefficient; LAT; SWR; amplitude-scaling; bit error rate; digital audio watermarking; discrete wavelet transform coefficient; information theory; low-frequency amplitude transform; low-pass filtering; probability; resampling attack; signal processing; signal-to-watermark; wavelet-based entropy; Bit error rate; Discrete wavelet transforms; Entropy; Robustness; Signal processing; Watermarking; discrete wavelet transform; entropy; low-frequency amplitude transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4577-1397-2

Type

conf

DOI

10.1109/IIHMSP.2011.39

Filename

6079534