Discrete Wavelet Transform Based Audio Watermarking Development

碩士 === 國立暨南國際大學 === 電機工程學系 === 95 === In this paper, we proposed a novel audio watermarking technique that the information is embedded into wavelet coefficients by modifying the amplitudes of entropy. The robust audio watermarking algorithm that utilizes the low frequency coefficients in DWT (discre...

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Main Authors: Bo-Hur Ko, 柯柏合
Other Authors: Gin-Der Wu
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/66346272502898635565
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spelling ndltd-TW-095NCNU04420322015-10-13T16:45:44Z http://ndltd.ncl.edu.tw/handle/66346272502898635565 Discrete Wavelet Transform Based Audio Watermarking Development 基於離散小波轉換之聲音浮水印發展 Bo-Hur Ko 柯柏合 碩士 國立暨南國際大學 電機工程學系 95 In this paper, we proposed a novel audio watermarking technique that the information is embedded into wavelet coefficients by modifying the amplitudes of entropy. The robust audio watermarking algorithm that utilizes the low frequency coefficients in DWT (discrete wavelet transform) as its guide to locate is proposed. The amount of modification to the amplitude is determined by the amount of distortion detected by the human ear. Unlike traditional usage, entropy plays the main role in the proposed watermarking technique. The performance of the proposed scheme in terms of SNR(signal to noise ratio) is analyzed. A relation between the number of consecutive coefficients and the SNR is presented. The experimental results show that the embedded data are robust against most common signal processing and attacks, such as MP3 compression, Gaussian noise, re-sampling, chopping and filtering. Gin-Der Wu 吳俊德 2007 學位論文 ; thesis 51 en_US
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language en_US
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description 碩士 === 國立暨南國際大學 === 電機工程學系 === 95 === In this paper, we proposed a novel audio watermarking technique that the information is embedded into wavelet coefficients by modifying the amplitudes of entropy. The robust audio watermarking algorithm that utilizes the low frequency coefficients in DWT (discrete wavelet transform) as its guide to locate is proposed. The amount of modification to the amplitude is determined by the amount of distortion detected by the human ear. Unlike traditional usage, entropy plays the main role in the proposed watermarking technique. The performance of the proposed scheme in terms of SNR(signal to noise ratio) is analyzed. A relation between the number of consecutive coefficients and the SNR is presented. The experimental results show that the embedded data are robust against most common signal processing and attacks, such as MP3 compression, Gaussian noise, re-sampling, chopping and filtering.
author2 Gin-Der Wu
author_facet Gin-Der Wu
Bo-Hur Ko
柯柏合
author Bo-Hur Ko
柯柏合
spellingShingle Bo-Hur Ko
柯柏合
Discrete Wavelet Transform Based Audio Watermarking Development
author_sort Bo-Hur Ko
title Discrete Wavelet Transform Based Audio Watermarking Development
title_short Discrete Wavelet Transform Based Audio Watermarking Development
title_full Discrete Wavelet Transform Based Audio Watermarking Development
title_fullStr Discrete Wavelet Transform Based Audio Watermarking Development
title_full_unstemmed Discrete Wavelet Transform Based Audio Watermarking Development
title_sort discrete wavelet transform based audio watermarking development
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/66346272502898635565
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AT kēbǎihé discretewavelettransformbasedaudiowatermarkingdevelopment
AT bohurko jīyúlísànxiǎobōzhuǎnhuànzhīshēngyīnfúshuǐyìnfāzhǎn
AT kēbǎihé jīyúlísànxiǎobōzhuǎnhuànzhīshēngyīnfúshuǐyìnfāzhǎn
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