Blind Digital Speech Watermarking Based on Eigen Value Quantization in DWT
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Nematollahi, Mohammad Ali (Author) |
| مؤلفين آخرين: | Al-Haddad, S. A. R. (Co-Author) , Zarafshan, Faraneh (Co-Author) |
| المجلد/العدد: | مج27, ع1 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2015
|
| الصفحات: | 58 - 67 |
| DOI: |
10.33948/0584-027-001-006 |
| ISSN: |
1319-1578 |
| رقم MD: | 973510 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Blind Digital Speech Water Marking | Eigen Value | Discrete Wavelet Transform | Singular Value Decomposition
|
| رابط المحتوى: |
| المستخلص: |
This paper presents a new blind digital speech watermarking technique based on Eigenvalue quantization in Discrete Wavelet Transform. Initially, each frame of the digital speech was transformed into the wavelet domain by applying Discrete Wavelet Transform. Then, the Eigenvalue of Approximation Coefficients was computed by using Singular Value Decomposition. Finally, the watermark bits were embedded by quantization of the Eigen-value. The experimental results show that this watermarking technique is robust against different attacks such as filtering, additive noise, resampling, and cropping. Applying new robust transforms, adaptive quantization steps and synchronization techniques can be the future trends in this field. |
|---|---|
| ISSN: |
1319-1578 |
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