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A novel steganographic model for securing binary images

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Abstract

In this work, authors propose an approach for securing binary images. The proposed method is a two step technique based on visual cryptography scheme (VCS) and integer-to-integer wavelet transform techniques. First, two meaningless shares, master and ownership share are extracted from the binary image using (2,2)-random grid based VCS. Next, the master share is embedded into a cover image using reversible integer-to-integer wavelet transform providing a two-tier security to the binary message. The performance is analyzed by calculating peak signal to noise ratio (PSNR), mean square error (MSE) and cross-correlation coefficient (Rxy). Simulation results are also discussed for the cases when discrete cosine (DCT) and discrete wavelet transforms (DWT) are used in the second step.

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Abbreviations

VCS:

Visual cryptography scheme

DCT:

Discrete cosine transform

PSNR:

Peak signal to noise ratio

Rxy:

Cross-correlation coefficient

DWT:

Discrete wavelet transform

MSE:

Mean square error

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Maharaja Agrasen Institute of Technology, New Delhi, 110086, India

    Hemant Tulsani & Palak Chawla

  2. Department of Electronics and Communication Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, 110031, India

    Rashmi Gupta

Authors
  1. Hemant Tulsani
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  2. Palak Chawla
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  3. Rashmi Gupta
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Corresponding author

Correspondence to Hemant Tulsani.

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Tulsani, H., Chawla, P. & Gupta, R. A novel steganographic model for securing binary images. Int. j. inf. tecnol. 9, 273–280 (2017). https://doi.org/10.1007/s41870-017-0031-x

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  • DOI: https://doi.org/10.1007/s41870-017-0031-x

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