Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/198271
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dc.contributor.authorShunquan Tanen_US
dc.contributor.authorHaojie Zhangen_US
dc.contributor.authorBin Lien_US
dc.contributor.authorJiwu Huangen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:45:59Z-
dc.date.available2020-04-06T07:45:59Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TIFS.2017.2682703en_US
dc.identifier.urihttp://localhost/handle/Hannan/198271-
dc.description.abstractThis paper deals with the state-of-the-art synchronize-embedding-changes (SECs) steganography. We propose the pixel-decimation-assisted steganalytic feature set, a novel feature set construction protocol that extends upon the recent selection-channel-aware spatial rich model maxSRMd2. Our method is based on pixel decimation, a specific type of image downsampling. Based on theoretical analysis and empirical evaluation, we clearly demonstrate that our method impairs the synchronization of embedding changes in SEC steganography, and improves the accuracy of embedding change probability estimation. Our method significantly improves stego image detection performance when extended from a selection-channel-aware rich-model feature set (maxSRMd2) and is robust to different image downsampling methods. Furthermore, increasing the number of sweeps in SEC steganography has no effect to the performance of our proposed method even though it further strengthens synchronization of embedding changes. It is worth noting that with ensemble classifier, the above-mentioned performance improvements are achieved at a little extra cost.en_US
dc.format.extent1658,en_US
dc.format.extent1670en_US
dc.publisherIEEEen_US
dc.relation.haspart7879204.pdfen_US
dc.titlePixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganographyen_US
dc.typeArticleen_US
dc.journal.volume12en_US
dc.journal.issue7en_US
Appears in Collections:2017

Files in This Item:
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7879204.pdf2.68 MBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShunquan Tanen_US
dc.contributor.authorHaojie Zhangen_US
dc.contributor.authorBin Lien_US
dc.contributor.authorJiwu Huangen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:45:59Z-
dc.date.available2020-04-06T07:45:59Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TIFS.2017.2682703en_US
dc.identifier.urihttp://localhost/handle/Hannan/198271-
dc.description.abstractThis paper deals with the state-of-the-art synchronize-embedding-changes (SECs) steganography. We propose the pixel-decimation-assisted steganalytic feature set, a novel feature set construction protocol that extends upon the recent selection-channel-aware spatial rich model maxSRMd2. Our method is based on pixel decimation, a specific type of image downsampling. Based on theoretical analysis and empirical evaluation, we clearly demonstrate that our method impairs the synchronization of embedding changes in SEC steganography, and improves the accuracy of embedding change probability estimation. Our method significantly improves stego image detection performance when extended from a selection-channel-aware rich-model feature set (maxSRMd2) and is robust to different image downsampling methods. Furthermore, increasing the number of sweeps in SEC steganography has no effect to the performance of our proposed method even though it further strengthens synchronization of embedding changes. It is worth noting that with ensemble classifier, the above-mentioned performance improvements are achieved at a little extra cost.en_US
dc.format.extent1658,en_US
dc.format.extent1670en_US
dc.publisherIEEEen_US
dc.relation.haspart7879204.pdfen_US
dc.titlePixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganographyen_US
dc.typeArticleen_US
dc.journal.volume12en_US
dc.journal.issue7en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7879204.pdf2.68 MBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShunquan Tanen_US
dc.contributor.authorHaojie Zhangen_US
dc.contributor.authorBin Lien_US
dc.contributor.authorJiwu Huangen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:45:59Z-
dc.date.available2020-04-06T07:45:59Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TIFS.2017.2682703en_US
dc.identifier.urihttp://localhost/handle/Hannan/198271-
dc.description.abstractThis paper deals with the state-of-the-art synchronize-embedding-changes (SECs) steganography. We propose the pixel-decimation-assisted steganalytic feature set, a novel feature set construction protocol that extends upon the recent selection-channel-aware spatial rich model maxSRMd2. Our method is based on pixel decimation, a specific type of image downsampling. Based on theoretical analysis and empirical evaluation, we clearly demonstrate that our method impairs the synchronization of embedding changes in SEC steganography, and improves the accuracy of embedding change probability estimation. Our method significantly improves stego image detection performance when extended from a selection-channel-aware rich-model feature set (maxSRMd2) and is robust to different image downsampling methods. Furthermore, increasing the number of sweeps in SEC steganography has no effect to the performance of our proposed method even though it further strengthens synchronization of embedding changes. It is worth noting that with ensemble classifier, the above-mentioned performance improvements are achieved at a little extra cost.en_US
dc.format.extent1658,en_US
dc.format.extent1670en_US
dc.publisherIEEEen_US
dc.relation.haspart7879204.pdfen_US
dc.titlePixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganographyen_US
dc.typeArticleen_US
dc.journal.volume12en_US
dc.journal.issue7en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7879204.pdf2.68 MBAdobe PDF