0% Complete
English
صفحه اصلی
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A novel approach audio watermarking based on (GBT,DCT,SVD)
نویسندگان :
Mahdi Mosleh
1
1- دانشگاه ازاد اسلامی اصفهان(خوراسگان)
کلمات کلیدی :
Copyright protection،Audio watermarking،Graph-based Transform(GBT)،Discrete Cosine Transform(DCT)،Singular value decomposition
چکیده :
Digital watermarking technology is presented as one of the best solutions for solving unauthorized copying, content identification and authentication of digital media. Digital watermarking can be applied in the field of image, text, audio, and video. Audio watermarking has recently attracted the attention of researchers because the human auditory system is much more sensitive than his vision system. Therefore, insertion of the data into audio signals in a Transparency way is much more difficult than other watermarking species. An efficient audio watermarking system should improve reconciliation of three measures of transparency, strength and capacitance. Improving the compromise between these three measures is very complex, due to increasing the capacity of the input signal, it causes distortions in the signal and it causes a reduction in transparency and robustness. In this paper, a method is proposed to introduce audio watermarking. It is able to improve the compromise between the three criteria of transparency, resilience, and capacity. The proposed method is based on Graph-based Transform(GBT) and Discrete cosine transform (DCT) and Singular value decomposition(SVD). In this method, the audio signal of the host is divided into non-overlapping frames, then GBT conversion is obtained from each frame using a suitable graph structure. Then, on a number of primary coefficients obtained from GBT transformation, DCT transformation is taken and from the low frequency coefficients obtained from DCT transformation, SVD is taken, from the coefficients obtained from experience (SVD) and Then the insertion operation is performed on the matrix S. The hidden image extraction operation is done blindly at the destination. The results of the evaluation of this proposed method on audio files with Blue, Electronic, Classic and Jazz styles show that the presented method has an average SNR= 41.19 dB and road rate is 519.25 bps
لیست مقالات
لیست مقالات بایگانی شده
Ensemble Model Based on an Improved Convolutional Neural Network with a Domain-agnostic Data Augmentation Technique
Faraz Fatahnaie - Armin Azhdehnia - Seyyed Amir Asghari - Mohammadreza Binesh Marvasti
Scattering Wavelet-Based Image Quality Assessment Metric for Medical Images
Sina Omidvar - Jamshid Shanbehzadeh
A Deep Neural Network-based Method for MmWave Time-varying Channel Estimation
Amirhossein Molazadeh - Zahra Maroufi - Mehrdad Ardebilipour
بهبود رهگیری در زنجیره تامین با استفاده از فناوری زنجیره بلوکی
سید عماد موسوی - مهرداد آشتیانی
Data Analysis to Reduce Electrical Power Plants
Amirali Sahraei - Jamshid Shanbehzadeh
StockFM: پیش بینی قیمت بازار بورس ایران به کمک مدل بنیادین سری زمانی
فاطمه چیت ساز - سامان هراتی زاده
A hybrid CNN–transformer framework for retinal disease classification
Hanie Zomorrodi - Hassan Khotanlou
A Joint Trajectory and Energy Harvesting Method for an UAV Enabled Disaster Response Network
Hosein Mohammadi Firozjae - Javad Zeraatkar Moghaddam - Mehrdad Ardebilipour
Intelligent Transportation System (ITS) Using Internet of Things (IoT)
Engineer Reza Khalilian - Dr. Abdalhossein Rezai - Dr. Sayyed Mohammad Reza Talakesh
Kalman Filter–Based Anomaly Detection for User Authentication Failures in Enterprise Logs
Somayeh Soltani - Hossein Nikdel
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.8.0