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Evolution in Computational Intelligence pp 181–189Cite as

Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1176))

Abstract

Visual cryptography is an image secret sharing technique which encrypts the image into n shares and reconstructs the image using k shares from n shares by human visual system. Recursive visual cryptography scheme (RVCS) again encrypts the encrypted shares into sub-shares using recursion. In this paper, we proposed a new model for size-invariant RVCS based on Perfect Reconstruction of White Pixels (PRWP) which enhances the contrast. The size-invariant RVCS based on random basis column pixel expansion with PRWP has been demonstrated based on experimental investigations. We have also reviewed the shortcomings of the existing models and made an experimental analysis between the previous models and the proposed model. From the analysis, we proved that the proposed method enhances the contrast and maintains both security and reliability.

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Authors and Affiliations

  1. Department of Information Technology, Kannur University, Kannur, Kerala, 670567, India

    T. E. Jisha

  2. Department of Computer Science, Mary Matha Arts & Science College, Kannur University, Mananthavady, Wayanad, Kerala, 670645, India

    Thomas Monoth

Authors
  1. T. E. Jisha
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  2. Thomas Monoth
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Corresponding author

Correspondence to T. E. Jisha .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Sheng-Lung Peng

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  4. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

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Jisha, T.E., Monoth, T. (2021). Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_17

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