DocumentCode
3605374
Title
Spread Spectrum-Based High Embedding Capacity Watermarking Method for Audio Signals
Author
Yong Xiang ; Natgunanathan, Iynkaran ; Yue Rong ; Song Guo
Author_Institution
Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia
Volume
23
Issue
12
fYear
2015
Firstpage
2228
Lastpage
2237
Abstract
Audio watermarking is a promising technology for copyright protection of audio data. Built upon the concept of spread spectrum (SS), many SS-based audio watermarking methods have been developed, where a pseudonoise (PN) sequence is usually used to introduce security. A major drawback of the existing SS-based audio watermarking methods is their low embedding capacity. In this paper, we propose a new SS-based audio watermarking method which possesses much higher embedding capacity while ensuring satisfactory imperceptibility and robustness. The high embedding capacity is achieved through a set of mechanisms: embedding multiple watermark bits in one audio segment, reducing host signal interference on watermark extraction, and adaptively adjusting PN sequence amplitude in watermark embedding based on the property of audio segments. The effectiveness of the proposed audio watermarking method is demonstrated by simulation examples.
Keywords
audio watermarking; copyright; radio spectrum management; radiofrequency interference; signal denoising; spread spectrum communication; SS-based audio watermarking methods; adaptive PN sequence amplitude adjustment; audio data copyright protection; audio segment; audio signals; audio watermarking method; embedding multiple watermark bits; host signal interference reduction; low embedding capacity; pseudonoise sequence; spread spectrum-based high embedding capacity watermarking method; watermark embedding; watermark extraction; Audio watermarking; Copyright protection; Discrete cosine transforms; Interference; Speech processing; Spread spectrum management; Watermarking; Audio watermarking; PN sequence; copyright protection; embedding capacity; spread spectrum;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
Publisher
ieee
ISSN
2329-9290
Type
jour
DOI
10.1109/TASLP.2015.2476755
Filename
7239554
Link To Document