Audio watermarking technique using modified discrete cosine transform

Aparna, S.; Baiju, P S

doi:10.1109/csn.2016.7824019

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…After reading host audio, MDCT transforms the audio signal into double multi-band signal in frequency domain. This multi-band signal is quite similar but unequal with previous published papers in [21] and [22]. In that study, the multi-band was generated according to the watermark, but in this paper, multi-band is the transformation result of host audio by MDCT.…”

Section: Introductionmentioning

confidence: 64%

Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm

2018

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Ease process digital data information exchange impact on the increase in cases of copyright infringement. Audio watermarking is one solution in providing protection for the owner of the work. This research aims to optimize the insertion parameters on Modified Discrete Cosine Transform (M-DCT) based audio watermarking using a genetic algorithm, to produce better audio resistance. MDCT is applied after reading host audio, then embedding in MDCT domain is applied by Quantization Index Modulation (QIM) technique. Insertion within the MDCT domain is capable of generating a high imperceptible watermarked audio due to its overlapping frame system. The system is optimized using genetic algorithms to improve the value of imperceptibility and robustness in audio watermarking. In this research, the average SNR reaches 20 dB, and ODG reaches -0.062. The subjective quality testing on the system obtains an average MOS of 4.22 out of five songs tested. In addition, the system is able to withstand several attacks. The use of M-DCT in audio watermaking is capable of producing excellent imperceptibility and better watermark robustness.

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Section: Introductionmentioning

confidence: 64%

Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm

2018

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“…Therefore, protection methods are required to meet some demands in the multimedia copyright including image, audio, and video files [1,2]. Some watermarking many studies have been conducted in various methods, such as time [1], temporal [2], DCT (discrete cosine transform) [3,4], DWT (discrete wavelet transform) domain methods [5][6][7]. By adding SVD (singular value decomposition) in the DWT based audio watermarking method, authors in [8][9][10][11] showed that the system has a high performance.…”

Section: Introductionmentioning

confidence: 99%

High Imperceptible Copyright Protection: Adaptive Wavelet for Security

Safitri

Ginanjar

Laksono

2019

Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

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This study is an extension of a recently conducted study in audio watermarking system. This study shows the imperceptibility of audio watermarking system based on Bose-Chaudhuri-Hocquenghem (BCH) code, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) methods. Watermarked image is embedded in the audio host signal accompanied by several attacks. The audio watermarking performances show that perceptual quality of audio with attacks is varies. At quantization spacing of 0.1 perceptual quality, objective difference degree (ODG) can reach -1.55 for level 1 in the audio watermarking system with echo attack. While signal to noise ratio (SNR) can reach 10.5 dB in the audio watermarking sistem with echo attack and bit error rate (BER) performance can reach 0.03 in our audio watermarking system also with echo attack. However, the audio watermarking system with equalizer attack shows that the higher the DWT level, the better imperceptible and BER performance is. Different from that of the system with equalizer attack, the watermarking system with resampling attack shows that the higher the DWT level, the better imperceptible and SNR performance is.

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Spread Spectrum Audio Watermark Based on Non-uniform Quantization

Ning

Peng

et al. 2020

Communications and Networking

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Audio watermarking technique using modified discrete cosine transform

Cited by 6 publications

References 7 publications

Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm

Modified DCT-based Audio Watermarking Optimization using Genetics Algorithm

High Imperceptible Copyright Protection: Adaptive Wavelet for Security

Spread Spectrum Audio Watermark Based on Non-uniform Quantization

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