Reversible Texture Synthesis Using Three Level Security in Steganography

Authors(2) :-Rashmi A. Sonawane, Dipti Sonawane

A texture synthesis process resample a smaller texture image, which synthesizes a new texture image with a similar local appearance and an arbitrary size. the texture synthesis process into Steganographic to conceal secret messages. In contrast to using an existing cover image to hide messages, our algorithm conceals the source texture image and embeds secret messages through the process of texture synthesis. This allows us to extract the secret messages and source texture from a Stego synthetic texture. This approach offers three distinct advantages. First, scheme offers the embedding capacity that is proportional to the size of the Stego texture image. Second, a Steganalytic algorithm is not likely to defeat our Steganographic approach. Third, the reversible capability inherited from our scheme provides functionality, which allows recovery of the source texture. algorithm can provide various numbers of embedding capacities, produce a visually plausible texture images, and recover the source texture.

Authors and Affiliations

Rashmi A. Sonawane
ME Student, Computer Science and Engineering , GHRIEM Jalgaon, Maharashtra, India
Dipti Sonawane
Assistant Professor, Computer Science and Engineering, GHRIEM Jalgaon, Maharashtra, India

Data Embedding, Example-Based Approach, Reversible, Steganography

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 268-273
Manuscript Number : IJSRST173157
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Rashmi A. Sonawane, Dipti Sonawane, " Reversible Texture Synthesis Using Three Level Security in Steganography", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 1, pp.268-273 , January-February-2017.
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