A New High-Capacity Audio Watermarking Based on Wavelet Transform using the Golden Ratio and TLBO Algorithm
الموضوعات :
Ali Zeidi joudaki
1
,
Marjan Abdeyazdan
2
,
Mohammad Mosleh
3
,
Mohammad Kheyrandish
4
1 - Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
2 - Department of Computer Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
3 - Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
4 - Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
الکلمات المفتاحية: Audio Watermarking, Discrete Wavelet Transform (DWT), High capacity, TLBO Optimization Algorithm,
ملخص المقالة :
Digital watermarking is one of the best solutions for copyright infringement, copying, data verification, and illegal distribution of digital media. Recently, the protection of digital audio signals has received much attention as one of the fascinating topics for researchers and scholars. In this paper, we presented a new high-capacity, clear, and robust audio signaling scheme based on the DWT conversion synergy and golden ratio advantages using the TLBO algorithm. We used the TLBO algorithm to determine the effective frame length and embedded range, and the golden ratio to determine the appropriate embedded locations for each frame. First, the main audio signal was broken down into several sub-bands using a DWT in a specific frequency range. Since the human auditory system is not sensitive to changes in high-frequency bands, to increase the clarity and capacity of these sub-bands to embed bits we used the watermark signal. Moreover, to increase the resistance to common attacks, we framed the high-frequency bandwidth and then used the average of the frames as a key value. Our main idea was to embed an 8-bit signal simultaneously in the host signal. Experimental results showed that the proposed method is free from significant noticeable distortion (SNR about 29.68dB) and increases the resistance to common signal processing attacks such as high pass filter, echo, resampling, MPEG (MP3), etc.
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