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Estimation of capacity parameters for dynamic histogram shifting (DHS)-based reversible image watermarking
Dong L.1; Zhou J.1; Tang Y.Y.1; Liu X.2
2014-09-03
Conference NameIEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Source PublicationProceedings - IEEE International Conference on Multimedia and Expo
Volume2014-September
IssueSeptmber
Conference DateJUL 14-18, 2014
Conference PlaceChengdu, PEOPLES R CHINA
Abstract

Dynamic histogram shifting (DHS) is a generation of the conventional histogram shifting (HS) technique for reversible image watermarking. Its superior embedding performance is achieved at the cost of significantly increased computational burden incurred by estimating the capacity parameters via multi-rounds of embedding iterations. In this work, we propose an analytical framework on estimating the optimal capacity parameters for DHS-based reversible image watermarking. We demonstrate that such parameter estimation can be cast as a convex optimization problem, which can be numerically solved in an efficient manner. The estimated values can then be utilized to facilitate a local search algorithm to obtain the truly optimal ones with much lowered complexity. Experimental results are provided to verify the validity of our findings.

KeywordCapacity-distortion Optimization Dynamic Histogram Shifting Reversible Watermarking
DOI10.1109/ICME.2014.6890276
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000360831800152
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Harbin Institute of Technology
Recommended Citation
GB/T 7714
Dong L.,Zhou J.,Tang Y.Y.,et al. Estimation of capacity parameters for dynamic histogram shifting (DHS)-based reversible image watermarking[C],2014.
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