Open AccessResearch on Digital Watermarking Technology Based on Discrete Wavelet Transform
Author(s) -
Dingying Tan,
Huiling Liu,
Huili Wang,
M. Zha,
Pingping Chen
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/790/1/012115
Subject(s) - discrete wavelet transform , digital watermarking , computer science , artificial intelligence , second generation wavelet transform , wavelet transform , lifting scheme , wavelet , stationary wavelet transform , computer vision , robustness (evolution) , watermark , embedding , harmonic wavelet transform , pattern recognition (psychology) , algorithm , image (mathematics) , biochemistry , chemistry , gene
By using the advantages of discrete wavelet transform in digital watermark embedding, extraction and detection, a corresponding basic model was established. Using MATLAB as a tool for simulation experiments, the experimental results show that the discrete wavelet transform can extract the watermark signal under the common JPEG compression, noise, shear and rotation, filtering and other attacks, and has high robustness.