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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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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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.
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Gin-Der Wu |
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Gin-Der Wu Bo-Hur Ko 柯柏合 |
author |
Bo-Hur Ko 柯柏合 |
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Bo-Hur Ko 柯柏合 Discrete Wavelet Transform Based Audio Watermarking Development |
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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 |
work_keys_str_mv |
AT bohurko discretewavelettransformbasedaudiowatermarkingdevelopment AT kēbǎihé discretewavelettransformbasedaudiowatermarkingdevelopment AT bohurko jīyúlísànxiǎobōzhuǎnhuànzhīshēngyīnfúshuǐyìnfāzhǎn AT kēbǎihé jīyúlísànxiǎobōzhuǎnhuànzhīshēngyīnfúshuǐyìnfāzhǎn |
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