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Fuzzy edge detection based steganography using modified Gaussian distribution

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Abstract

This paper proposes a fuzzy edge detection based steganography approach to effectively hide data within images. Instead of applying conventional edge detection algorithms, the method uses a fuzzy edge detection approach in order to estimate more number of pixels where the data can be hidden. At the outset, the cover image is masked and the fuzzy edge detection is performed on the masked image thus retaining edge information. The number of bits to be embedded in a particular pixel is dependent on whether the pixel is an edge pixel, where more bits are embedded. In case the pixel is not an edge pixel and also not a background pixel then the amount of data that is to be embedded depends on the Euclidean distance of the respective pixel from the nearest edge pixel and is determined by the Gaussian function. Experimental results ensure that the scheme offers variable payload with acceptable quality distortion in the stego-image.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Jadavpur University, 188, Raja S. C. Mallick Road, Kolkata, West Bengal, 700032, India

    S. Dhargupta, A. Chakraborty, S. Saha & R. Sarkar

  2. Department of Computer Science & Technology, Nalhati Government Polytechnic, Nalhati, Birbhum, 731243, India

    S. K. Ghosal

Authors
  1. S. Dhargupta
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  2. A. Chakraborty
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  3. S. K. Ghosal
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  4. S. Saha
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  5. R. Sarkar
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Correspondence to R. Sarkar.

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Appendix

Appendix

figure ffigure f

1.1 Pseudo code for extraction process

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Dhargupta, S., Chakraborty, A., Ghosal, S.K. et al. Fuzzy edge detection based steganography using modified Gaussian distribution. Multimed Tools Appl 78, 17589–17606 (2019). https://doi.org/10.1007/s11042-018-7123-x

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  • DOI: https://doi.org/10.1007/s11042-018-7123-x

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