Effective watermarking based on energy balancing in audio signals

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Techniques based on discrete cosine transform (DCT) have been proposed for digital watermarking of audio signals; however, the watermark is susceptible to MP3 compression. This paper presents an effective audio watermarking technique based on energy balancing of DCT coefficients to recover the watermark from signal processing, such as compression, without compromising the intended effect of the original signal. The presented technique needs to divide the audio signal into segments. Three parameters define the segment length, what segments are selected, and the frequency range of DCT of the selected segments for watermark embedding, respectively. The error-correcting code can be incorporated to improve the decoded watermark quality. Experimental results show that the technique is robust against compression and other operations. Furthermore, no original signal is required for decoding the watermark.

Original languageEnglish
Title of host publication2012 International Conference on Anti-Counterfeiting, Security and Identification, ASID 2012
DOIs
Publication statusPublished - 2012 Dec 11
Event2012 International Conference on Anti-Counterfeiting, Security and Identification, ASID 2012 - Taipei, Taiwan
Duration: 2012 Aug 242012 Aug 26

Publication series

NameProceedings of the International Conference on Anti-Counterfeiting, Security and Identification, ASID
ISSN (Print)2163-5048
ISSN (Electronic)2163-5056

Other

Other2012 International Conference on Anti-Counterfeiting, Security and Identification, ASID 2012
CountryTaiwan
CityTaipei
Period12-08-2412-08-26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Tsai, S. E., Lin, Y. C., & Yang, S-M. (2012). Effective watermarking based on energy balancing in audio signals. In 2012 International Conference on Anti-Counterfeiting, Security and Identification, ASID 2012 [6325278] (Proceedings of the International Conference on Anti-Counterfeiting, Security and Identification, ASID). https://doi.org/10.1109/ICASID.2012.6325278