Application of Empirical Wavelet Transform in Digital Image Watermarking
Author(s) -
Mohammad Keivani,
Amir Mahdi Sazdar,
Jalil Mazloum,
Akram Rahmani
Publication year - 2020
Publication title -
traitement du signal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 11
eISSN - 1958-5608
pISSN - 0765-0019
DOI - 10.18280/ts.370517
Subject(s) - digital watermarking , computer science , noise (video) , wavelet transform , filter (signal processing) , information hiding , wavelet , the internet , digital watermarking alliance , image (mathematics) , computer vision , data mining , world wide web
Received: 13 March 2020 Accepted: 20 September 2020 Nowadays, rapid growth of the Internet and digital multimedia technologies make it possible to duplicate data without any loss of quality and at a very low cost. In this regard, manipulation of documents will easily be accomplished by applying digital art and without the copyright owner's permission. To deal with situation, more diverse security requirements are introduced every day. Watermarking is considered as one of the methods used for achieving this purpose. Watermarking is focused on inserting a subtle signal between the host media data somehow it does not change the original data, but they can be extracted if necessary. They are also used as a claim for ownership of the digital effect. Various methods have been presented for watermarking so far. These methods have been developed to overcome the weaknesses of previous methods. Empirical wavelet transform is taken into account as a new method for hiding and extracting military digital images with respect to alpha composition. As such, it is resistant to noise, low pass filter and compression. Analytical studies showed that this method is more efficient than other methods from quantitative and qualitative point of view.
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