Histogram-Based Reversible Data Hiding with Quadtree Concepts

Reversible data hiding has attracted much attention in researches during the past few years. With its characteristics of reversibility, the algorithm is required to fulfill the goals that at the encoder, the secret information needs to be embedded into the original image by some means, and at the de...

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Bibliographic Details
Published inSecurity Technology, Disaster Recovery and Business Continuity Vol. 122; pp. 126 - 133
Main Authors Huang, Hsiang-Cheh, Wang, Ting-Hsuan, Fang, Wai-Chi
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2010
Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
Online AccessGet full text
ISBN3642176097
9783642176098
ISSN1865-0929
1865-0937
DOI10.1007/978-3-642-17610-4_14

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Summary:Reversible data hiding has attracted much attention in researches during the past few years. With its characteristics of reversibility, the algorithm is required to fulfill the goals that at the encoder, the secret information needs to be embedded into the original image by some means, and at the decoder, both the secret information and the original image are required to be correctly extracted and recovered, and they should be identical to their embedding counterparts. Under the requirement of reversibility, for evaluating the performance of the algorithm, the output image quality, called imperceptibility, and the number of bits for embedding, called capacity, are the two important factors to access the effectiveness of the algorithm. Here we take the concepts of quadtree decomposition into consideration to watch the characteristics of the original content. And we propose a reversible data hiding algorithm that has the ability to reside more capacity than conventional algorithm, with similar output image quality after embedding, and comparable side information produced.
ISBN:3642176097
9783642176098
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-17610-4_14