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dc.contributor.authorLee, YKen_US
dc.contributor.authorChen, LHen_US
dc.date.accessioned2014-12-08T15:40:24Z-
dc.date.available2014-12-08T15:40:24Z-
dc.date.issued2003-09-01en_US
dc.identifier.issn0218-0014en_US
dc.identifier.urihttp://dx.doi.org/10.1142/S021800140300268Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/27578-
dc.description.abstractThe typical model of steganography has led the prisoners' problem, in which two persons attempt to communicate covertly without alerting the warden, that is, only the receiver knows the existence of the message sent by the sender. One available way to achieve this task is to embed the message in an innocuous-looking medium. In this paper, we propose a variation of the Quantization Index Modulation (QIM) for solving the prisoners' problem. We also propose a theorem to show that the error of mean intensity value of an image block caused by JPEG compression is bounded. The proposed method embeds the messages to be conveyed by modifying the mean intensity value, and the resulting stego-image can be stored in the JPEG format with a low quality setting. Besides, a specific pattern caused by using the QIM embedding method is also identified, and this pattern will be removed using the proposed embedding method. Experimental results and the proposed theorem show that the hidden message is error-free against the JPEG distortion under the quality setting as low as 25. Furthermore, the existence of the hidden message is not only visually imperceptible but also statistically undetectable.en_US
dc.language.isoen_USen_US
dc.subjectinformation hidingen_US
dc.subjectsteganographyen_US
dc.subjectsteganalysisen_US
dc.subjectcovert communicationen_US
dc.subjectsecurityen_US
dc.titleSecure error-free steganography for JPEG imagesen_US
dc.typeArticleen_US
dc.identifier.doi10.1142/S021800140300268Xen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCEen_US
dc.citation.volume17en_US
dc.citation.issue6en_US
dc.citation.spage967en_US
dc.citation.epage981en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000185633800004-
dc.citation.woscount12-
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