Abstract
Nowadays the Internet infrastructure enables the transfer of massive amounts of large data sets throughout the Web. Over this infrastructure, the risks of infringement of the owner's rights and the incapability to defend their data from attacks are important. There are several demands for novel and smart watermarking schemes to save those rights from an illegal copying of the digital products. The Digital watermarking is a technology used to protect the copyrights of the digital media. Image watermarking scheme is used to limit the chances of piracy. Various approaches were proposed to be used with an image watermarking scheme, such as wavelet transforms, principle component analysis and singular value decomposition. In this work, the proposed watermarking scheme is based on the Daubechies family wavelets, Daubechies-5 and Daubechies-7 wavelet transform. This wavelet family approach is highly robust against various types of attacks, prohibiting the piracy and authentication of the digital data. The experimental results depict that this proposed scheme allows protection at a higher level compared with other existing frameworks and schemes.
Original language | English |
---|---|
Title of host publication | 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Volume | 2018-September |
ISBN (Electronic) | 9781538661512 |
DOIs | |
Publication status | Published - 29 Oct 2018 |
Externally published | Yes |
Event | 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018 - Barcelona, Spain Duration: 17 Sept 2018 → 19 Sept 2018 |
Conference
Conference | 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018 |
---|---|
Country/Territory | Spain |
City | Barcelona |
Period | 17/09/18 → 19/09/18 |
Keywords
- copyright
- Daubechies wavelet
- digital image watermarking
- Discrete wavelet transform
- mean square error