Literature DB >> 25415988

Steganography using reversible texture synthesis.

Kuo-Chen Wu, Chung-Ming Wang.   

Abstract

We propose a novel approach for steganography using a reversible texture synthesis. A texture synthesis process resamples 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.

Year:  2014        PMID: 25415988     DOI: 10.1109/TIP.2014.2371246

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network.

Authors:  Xintao Duan; Nao Liu; Mengxiao Gou; Wenxin Wang; Chuan Qin
Journal:  Entropy (Basel)       Date:  2020-10-08       Impact factor: 2.524

  1 in total

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