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JPEG steganography with particle swarm optimization accelerated by AVX

dc.contributor.authorSnášel, Václav
dc.contributor.authorKrömer, Pavel
dc.contributor.authorŠafařík, Jakub
dc.contributor.authorPlatoš, Jan
dc.date.accessioned2020-05-22T06:40:05Z
dc.date.available2020-05-22T06:40:05Z
dc.date.issued2020
dc.identifier.citationConcurrency and Computation: Practice & Experience. 2020, vol. 32, issue 8, special issue, art. no. e5448.cs
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.urihttp://hdl.handle.net/10084/139501
dc.description.abstractDigital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography. Optimization methods can improve the properties of images with embedded secret but introduce additional computational complexity to their processing. AVX instructions available in modern CPUs are, in this work, used to accelerate data parallel operations that are part of image steganography with advanced optimizations.cs
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesConcurrency and Computation: Practice & Experiencecs
dc.relation.urihttp://doi.org/10.1002/cpe.5448cs
dc.rights© 2019 The Authors Concurrency and Computation: Practice and Experience Published by John Wiley & Sons Ltdcs
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/cs
dc.subjectaccelerationcs
dc.subjectAVXcs
dc.subjectparticle swarm optimizationcs
dc.subjectpermutationcs
dc.subjectsteganographycs
dc.titleJPEG steganography with particle swarm optimization accelerated by AVXcs
dc.typearticlecs
dc.identifier.doi10.1002/cpe.5448
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume32cs
dc.description.issue8cs
dc.description.firstpageart. no. e5448cs
dc.identifier.wos000528674400004


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© 2019 The Authors Concurrency and Computation: Practice and Experience Published by John Wiley & Sons Ltd
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2019 The Authors Concurrency and Computation: Practice and Experience Published by John Wiley & Sons Ltd