Open AccessA Robust Watermarking Scheme Using DWT and SVD
Author(s) -
B. Gopi,
T. Sudha
Publication year - 2019
Publication title -
asian journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2583-7907
pISSN - 2249-0701
DOI - 10.51983/ajcst-2019.8.s3.2079
Subject(s) - singular value decomposition , watermark , digital watermarking , robustness (evolution) , discrete wavelet transform , computer science , algorithm , signature (topology) , spurious relationship , pattern recognition (psychology) , artificial intelligence , unitary matrix , singular value , unitary state , image (mathematics) , mathematics , wavelet , wavelet transform , machine learning , physics , biochemistry , gene , chemistry , eigenvalues and eigenvectors , geometry , quantum mechanics , political science , law
Singular value decomposition is in use quite recently in many applications. The SVD is being used for many applications along with other techniques. In this paper a robust watermarking scheme was proposed by using SVD along with wavelet transform. In addition to normal hiding scheme a random signature was used to improve its robustness against spurious intruders. The unitary matrices are used to generate a signature which is going to be embedded into the fourth level decomposition of cover image. After extracting the watermark at the other end, it will be checked with the signature embedded. If these signatures are matched the unitary matrices will be used to extract watermark from watermarked image. Different attacks are considered and the simulation results have shown that the extraction of watermark after attacks have shown minor effect only.