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Information Hiding and Recovery using Reversible Embedding

by A. S. Sonawane, M. L. Dhore, S. N. Mali
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 5
Year of Publication: 2011
Authors: A. S. Sonawane, M. L. Dhore, S. N. Mali
10.5120/2957-3908

A. S. Sonawane, M. L. Dhore, S. N. Mali . Information Hiding and Recovery using Reversible Embedding. International Journal of Computer Applications. 24, 5 ( June 2011), 30-34. DOI=10.5120/2957-3908

@article{ 10.5120/2957-3908,
author = { A. S. Sonawane, M. L. Dhore, S. N. Mali },
title = { Information Hiding and Recovery using Reversible Embedding },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 5 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number5/2957-3908/ },
doi = { 10.5120/2957-3908 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:12.734829+05:30
%A A. S. Sonawane
%A M. L. Dhore
%A S. N. Mali
%T Information Hiding and Recovery using Reversible Embedding
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 5
%P 30-34
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of this work is to develop data embedding technique that not only embeds secret message, in the form of binary bit stream, to the host image without any auxiliary information or location map, but also extracts that embedded secret message at decoder and restores the original content of host image, which are manipulated after the embedding at encoder. This technique carried out in two phases, embedding and extraction, using min-max approach. This technique reduces extra overhead to embed extra information other than secret message.

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Index Terms

Computer Science
Information Sciences

Keywords

Reversible data embedding non-overlapped block division location map free embedding min-max approach

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