Open AccessCompressive Sensing‐Based Audio Semi‐fragile Zero‐Watermarking Algorithm
Author(s) -
Tang Xin,
Ma Zhaofeng,
Niu Xinxin,
Yang Yixian
Publication year - 2015
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2015.07.009
Subject(s) - digital watermarking , compressed sensing , computer science , wavelet , algorithm , signal (programming language) , zero (linguistics) , audio signal , domain (mathematical analysis) , signal processing , artificial intelligence , pattern recognition (psychology) , speech recognition , mathematics , digital signal processing , speech coding , image (mathematics) , computer hardware , linguistics , philosophy , mathematical analysis , programming language
A novel compressive sensing‐based audio semi‐fragile zero‐watermarking algorithm is proposed in this paper. This algorithm transforms the original audio signal into the wavelet domain and applies compressive sensing theory to the approximation wavelet coefficients. The zero‐watermarking is constructed according to the positive and negative properties of elements in the measurement vector. The experimental results show that the proposed algorithm is robust against common audio signal processing and fragile to malicious tampering. Compared with the existing algorithms, the proposed algorithm improves malicious tampering detection accuracy in common audio signal processing environments.