We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Empirical mode decomposition based blind audio watermarking.
- Authors
Fu, Zhaoyang; Zhang, Peng; Huang, Wei; Wang, Liang; Emmanuel, Sabu; Chen, Guang
- Abstract
Multiparty-multilevel digital rights management of audio requires blind detection of multiple watermarks. The proposed audio watermarking method offers copyright protection based on analysis filterbank decomposition, psychoacoustic model and empirical mode decomposition (EMD). The novel blind audio watermarking algorithm embeds the watermark bits in the final residue of the subbands in the transform domain. The watermarking system performance is optimized by selecting appropriate segment length for applying EMD process and by selecting the number of subbands for watermark embedding. Experimental results show that the proposed scheme is robust against various common signal processing manipulations while multiple watermark messages can be embedded.
- Subjects
AUDIO watermarks; DIGITAL watermarking; FILTER banks; HILBERT-Huang transform; PSYCHOACOUSTICS; DIGITAL signal processing
- Publication
Multimedia Tools & Applications, 2015, Vol 74, Issue 15, p6019
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-014-1905-6