Invisible Image Watermarking using Frequency Domain Feature Points
| but.event.date | 28.04.2016 | cs |
| but.event.title | Student EEICT 2016 | cs |
| dc.contributor.author | Pacura, Dávid | |
| dc.date.accessioned | 2018-07-10T12:48:13Z | |
| dc.date.available | 2018-07-10T12:48:13Z | |
| dc.date.issued | 2016 | cs |
| dc.description.abstract | For robust invisible watermarking scheme for images, it is crucial to withstand both malicious and common image manipulations (e.g. JPEG compression, pixel jittering or cropping). In this paper, local image features are used. For this, a Maximally Stable Extremal Regions (MSER) detector, which is fast and invariant to affine transformations, is used. The watermark itself is embedded multiple times in circular areas across image. This is achieved by manipulation of magnitude coefficients in frequency domain. During detection, watermark is recovered using majority criterion. | en |
| dc.format | text | cs |
| dc.format.extent | 164-167 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 164-167. ISBN 978-80-214-5350-0 | cs |
| dc.identifier.isbn | 978-80-214-5350-0 | |
| dc.identifier.uri | http://hdl.handle.net/11012/83905 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings of the 22nd Conference STUDENT EEICT 2016 | en |
| dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | Invisible image watermarking | en |
| dc.subject | robust image watermarks | en |
| dc.subject | image protection | en |
| dc.subject | discrete Fourier transform | en |
| dc.subject | DFT | en |
| dc.subject | peak signal to noise ratio | en |
| dc.subject | PSNR | en |
| dc.title | Invisible Image Watermarking using Frequency Domain Feature Points | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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