Steganography Using Reversible Texture Synthesis

   December 11, 2017    Comments Off on Steganography Using Reversible Texture Synthesis    Posted in: IEEE 2017, MATLAB

Steganography Using Reversible Texture Synthesis

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.

EXISTING SYSTEM:

  • Most image steganographic algorithms adopt an existing image as a cover medium. The expense of embedding secret messages into this cover image is the image distortion encountered in the stego image.
  • The most recent work has focused on texture synthesis by example, in which a source texture image is re-sampled using either pixel-based or patch-based algorithms to produce a new synthesized texture image with similar local appearance and arbitrary size.
  • Otori and Kuriyama pioneered the work of combining data coding with pixel-based texture synthesis. Secret messages to be concealed are encoded into colored dotted patterns and they are directly painted on a blank image.

 

DISADVANTAGES OF EXISTING SYSTEM:

  • Two Drawbacks of Existing system are:
  • First, since the size of the cover image is fixed, the more secret messages which are embedded allow for more image distortion. Consequently, a compromise must be reached between the embedding capacity and the image quality which results in the limited capacity provided in any specific cover image. Recall that image steganalysis is an approach used to detect secret messages hidden in the stego image.
  • A stego image contains some distortion, and regardless of how minute it is, this will interfere with the natural features of the cover image. This leads to the second drawback because it is still possible that an image steganalytic algorithm can defeat the image steganography and thus reveal that a hidden message is being conveyed in a stego image.

PROPOSED SYSTEM:

  • In this paper, we propose a novel approach for steganography using reversible texture synthesis. A texture synthesis process re-samples a small texture image drawn by an artist or captured in a photograph in order to synthesize a new texture image with a similar local appearance and arbitrary size.
  • We weave the texture synthesis process into steganography concealing secret messages as well as the source texture. In particular, 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 the source texture from a stego synthetic texture.
  • The three fundamental differences between our proposed message-oriented texture synthesis and the conventional patchbased texture synthesis are described in following: The first difference is the shape of the overlapped area. During the conventional synthesis process, an L-shape overlapped area is normally used to determine the similarity of every candidate patch. In contrast, the shape of the overlapped area in our algorithm varies because we have pasted source patches into the workbench. Consequently, our algorithm needs to provide more flexibility in order to cope with a number of variable shapes formed by the overlapped area.

 

ADVANTAGES OF PROPOSED SYSTEM:

  • Our approach offers three advantages.
  • First, since the texture synthesis can synthesize an arbitrary size of texture images, the embedding capacity which our scheme offers is proportional to the size of the stego texture image.
  • Secondly, a steganalytic algorithm is not likely to defeat this steganographic approach since the stego texture image is composed of a source texture rather than by modifying the existing image contents.
  • Third, the reversible capability inherited from our scheme provides functionality to recover the source texture. Since the recovered source texture is exactly the same as the original source texture, it can be employed to proceed onto the second round of secret messages for steganography if needed.

SYSTEM ARCHITECTURE:

 

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

 

  • System : Pentium IV 2.4 GHz.
  • Hard Disk : 40 GB.
  • Floppy Drive : 44 Mb.
  • Monitor : 15 VGA Colour.
  • Mouse :
  • Ram : 512 Mb.

 

SOFTWARE REQUIREMENTS:

 

  • Operating system : Windows XP/7.
  • Coding Language : MATLAB
  • Tool : MATLAB R 2007B

 

REFERENCE:

Kuo-Chen Wu and Chung-Ming Wang, Member, IEEE, “Steganography Using Reversible Texture Synthesis”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 1, JANUARY 2015.

 

  

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