Data hiding in grayscale images by dynamic programming based on a human visual model

doi:10.1016/j.patcog.2009.01.014

Full metadata record

DC Field	Value	Language
dc.contributor.author	Lee, I-Shi	en_US
dc.contributor.author	Tsai, Wen-Hsiang	en_US
dc.date.accessioned	2014-12-08T15:09:12Z	-
dc.date.available	2014-12-08T15:09:12Z	-
dc.date.issued	2009-07-01	en_US
dc.identifier.issn	0031-3203	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.patcog.2009.01.014	en_US
dc.identifier.uri	http://hdl.handle.net/11536/7019	-
dc.description.abstract	A new method for data hiding in grayscale images based on a human vision model with distortion-minimizing capabilities is proposed. Each of the eight bit planes of an input grayscale image is viewed as a binary image, into which message data are embedded horizontally. Two optimization techniques, namely, block pattern coding and dynamic programming, are proposed for image distortion minimization. Experimental results show good performs of the proposed method. (C) 2009 Elsevier Ltd. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	Data hiding	en_US
dc.subject	Grayscale image	en_US
dc.subject	Human visual system	en_US
dc.subject	Block pattern encoding	en_US
dc.subject	Dynamic programming	en_US
dc.title	Data hiding in grayscale images by dynamic programming based on a human visual model	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/j.patcog.2009.01.014	en_US
dc.identifier.journal	PATTERN RECOGNITION	en_US
dc.citation.volume	42	en_US
dc.citation.issue	7	en_US
dc.citation.spage	1604	en_US
dc.citation.epage	1611	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:000265365500034	-
dc.citation.woscount	15	-
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