steganography using texture synthesis

V.B.Jayasree,K.R.Lashya,S.Jayanthi

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:4         Issue:3         Year: 05 April,2016         Pages:873-880

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

We propose a novel approach for steganography using a texture synthesis. A texture synthesis process re-samples a smaller texture image, which synthesizes a new texture image with a similar local appearance and an arbitrary size. We weave the texture synthesis process into steganography 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. Our approach offers three distinct advantages. First, our 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. Experimental results have verified that our proposed algorithm can provide various numbers of embedding capacities, produce a visually plausible texture images, and recover the source texture.

Kewords

Steganography , texture synthesis, Encryption, Decryption, DES algorithm

Reference

1. Kuo Chen Wu and Chung-Ming Wang “Steganography Using Reversible Texture Synthesis”, Member, IEEE. IEEE transactions on image processing, VOL. 24, NO. 1, JANUARY 2015 2. R.Bonde, M.Mahendra and Vidya Dahake, “A General framework for reversible data hiding a review,” International journal for research in emerging science and technology.,vol.2, issue 6, jun 2015 3. Sreedevi S and Shinto Sebastian, “Fast Image Retrieval with Feature Levels,” International Conference on Microelectronics, Communication and Renewable Energy, 2013