Watermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstruction

Simple item page
dc.contributor.authorLutovac, Budimir
dc.contributor.authorDakovic, Milos
dc.contributor.authorStankovic, Srdjan
dc.contributor.authorOrovic, Irena
dc.coverage.issue1cs
dc.coverage.volume26cs
dc.date.accessioned2017-04-18T08:21:46Z
dc.date.available2017-04-18T08:21:46Z
dc.date.issued2017-04cs
dc.description.abstractThe watermark detection procedure for images corrupted by impulsive noise is proposed. The procedure is based on the compressive sensing (CS) method for the reconstruction of corrupted pixels. It is shown that the proposed procedure can extract watermark with a moderate impulsive noise level. It is well known that most of the images are approximately sparse in the 2D DCT domain. Moreover, we can force sparsity in the watermarking procedure and obtain almost strictly sparse image as a desirable input to the CS based reconstruction algorithms. Compared to the state-of-the-art methods for impulse noise removal, the proposed solution provides much better performance in watermark extraction.en
dc.formattextcs
dc.format.extent309-315cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 1, s. 309-315. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2017.0309en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/64738
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2017/17_01_0309_0315.pdfcs
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectImage watermarkingen
dc.subjectimpulsive noiseen
dc.subjectcompressive sensingen
dc.subjectsparse reconstructionen
dc.subjectgradient algorithmen
dc.titleWatermark Detection in Impulsive Noise Environment Based on the Compressive Sensing Reconstructionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
17_01_0309_0315.pdf
Size:
522.55 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
2017/1