Effective watermarking based on energy balancing in audio signals

Tsai, Shang-En; Lin, Yen–Chun; Yang, Shih-Ming

doi:10.1109/icasid.2012.6325278

Cited by 1 publication

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To guard against digital signal processing such as MP3 compressing, decompression, low pass filter, time-scaling, and resampling, integration with error correcting code is shown to achieve smaller bit error rate. The performance of the watermarking method is compared with a previous work [19,20], and the results validate that the method is effective on all music types and robust to signal processing.…”

Section: Discussionmentioning

confidence: 70%

See 1 more Smart Citation

An Effective Watermarking Method Based on Energy Averaging in Audio Signals

Tsai

Yang²

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Methods based on discrete cosine transform (DCT) have been proposed for digital watermarking of audio signals; however, the watermark is often vulnerable to data compression and signal processing. This paper presents an effective audio watermarking method by energy averaging of DCT coefficients such that an audio signal with watermark is robust to data processing. The method is to divide an audio signal into segments by three parameters defining the segment length, the segment sequence of watermark location, and the frequency range of DCT coefficients for watermark location. An error correcting code is also integrated to improve audio signal quality after watermarking. Experimental results show that the method is robust to data compression and many other kinds of signal processing. No original signal is required for decoding the watermark. Comparison of watermarking performance with a recent work validates that the watermarking method has better audio quality and higher robustness.

show abstract

Section: Discussionmentioning

confidence: 70%

“…A fast DCT algorithm has recently been developed to achieve higher computation efficiency [19][20][21]. By using the algorithm, a watermarking method based on energy averaging of DCT coefficients is presented in this paper for digital audio signals.…”

Section: Introductionmentioning

confidence: 99%

An Effective Watermarking Method Based on Energy Averaging in Audio Signals

Tsai

Yang²

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Effective watermarking based on energy balancing in audio signals

Cited by 1 publication

References 16 publications

An Effective Watermarking Method Based on Energy Averaging in Audio Signals

An Effective Watermarking Method Based on Energy Averaging in Audio Signals

Contact Info

Product

Resources

About