Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques
Abuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique. In this paper, we propose audio watermarking with Quantization Index Modulation (QIM) met...
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Indonesian Institute of Sciences
2019-08-01
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doaj-12dfe3849112487191d5f2d7a334dcb62020-11-25T02:04:17ZengIndonesian Institute of SciencesJurnal Elektronika dan Telekomunikasi1411-82892527-99552019-08-01191202510.14203/jet.v19.20-25155Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR TechniquesIrma Safitri0Gelar Budiman1Arfidianti Kartika Meiza Putri2Telkom UniversityTelkom UniversityTelkom UniversityAbuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique. In this paper, we propose audio watermarking with Quantization Index Modulation (QIM) method as an embedding process combined with Compressive Sampling (CS), Discrete Sine Transform (DST) and QR decomposition. Binary image is used as a watermark inserted in host audio. DST is used for transformation process from time domain to frequency domain, while QR is used to decompose onedimension matrix into two-dimension matrix. Meanwhile, CS is used to obtain the compressed watermark file which is done before the embedding process. QIM method is used to embed the watermark file to the audio host file. Simulation results indicated that the proposed audio watermarking technique has good robustness against some attacks such as Low Pass Filter (LPF), resampling and linear speed change. In addition, it provides good performance in terms of imperceptibility with Signal to Noise Ratio (SNR) > 20 dB and capacity C = 689 bps.https://www.jurnalet.com/jet/article/view/258audio watermarkingquantization index modulationdiscrete sine transformQRcompressive sampling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Irma Safitri Gelar Budiman Arfidianti Kartika Meiza Putri |
spellingShingle |
Irma Safitri Gelar Budiman Arfidianti Kartika Meiza Putri Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques Jurnal Elektronika dan Telekomunikasi audio watermarking quantization index modulation discrete sine transform QR compressive sampling |
author_facet |
Irma Safitri Gelar Budiman Arfidianti Kartika Meiza Putri |
author_sort |
Irma Safitri |
title |
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques |
title_short |
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques |
title_full |
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques |
title_fullStr |
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques |
title_full_unstemmed |
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques |
title_sort |
audio watermarking combined with compressive sampling based on qim and dst-qr techniques |
publisher |
Indonesian Institute of Sciences |
series |
Jurnal Elektronika dan Telekomunikasi |
issn |
1411-8289 2527-9955 |
publishDate |
2019-08-01 |
description |
Abuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique. In this paper, we propose audio watermarking with Quantization Index Modulation (QIM) method as an embedding process combined with Compressive Sampling (CS), Discrete Sine Transform (DST) and QR decomposition. Binary image is used as a watermark inserted in host audio. DST is used for transformation process from time domain to frequency domain, while QR is used to decompose onedimension matrix into two-dimension matrix. Meanwhile, CS is used to obtain the compressed watermark file which is done before the embedding process. QIM method is used to embed the watermark file to the audio host file. Simulation results indicated that the proposed audio watermarking technique has good robustness against some attacks such as Low Pass Filter (LPF), resampling and linear speed change. In addition, it provides good performance in terms of imperceptibility with Signal to Noise Ratio (SNR) > 20 dB and capacity C = 689 bps. |
topic |
audio watermarking quantization index modulation discrete sine transform QR compressive sampling |
url |
https://www.jurnalet.com/jet/article/view/258 |
work_keys_str_mv |
AT irmasafitri audiowatermarkingcombinedwithcompressivesamplingbasedonqimanddstqrtechniques AT gelarbudiman audiowatermarkingcombinedwithcompressivesamplingbasedonqimanddstqrtechniques AT arfidiantikartikameizaputri audiowatermarkingcombinedwithcompressivesamplingbasedonqimanddstqrtechniques |
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1724943298713354240 |