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Steganographic Method to Data Hiding in RGB Images Using Pixels Redistribution Combining Fractal-Based Coding and DWT

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Intelligent Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 285))

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Abstract

This paper presents a method for hiding information in digital images RGB based on different data representation mechanisms through base 64 coding. In combination with a particular coding redistribution based on fractal dimension, using 6-bit Unicode Transformation Format (UTF-6) representation, and lossless compression using Lempel-Ziv-Welch (LZW). It proposes combining the modification of the least significant bit of the pixels in combination with the Discrete Wavelet Transformation (DWT) to provide extensive data protection. An empirical assessment shows a competitive performance when compared to state-of-the-art methods, highlighting the successful embedding images as hidden messages in the stego-images.

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Acknowledgment

We thank CONACYT for the allocation of the scholarship with registration number 445998 for postgraduate studies.

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Authors and Affiliations

  1. Department of Computer Science, Autonomous Mexico State University, Toluca, Mexico

    Hector Caballero-Hernandez, Vianney Muñoz-Jimenez & Marco A. Ramos

Authors
  1. Hector Caballero-Hernandez
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  2. Vianney Muñoz-Jimenez
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  3. Marco A. Ramos
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Corresponding author

Correspondence to Hector Caballero-Hernandez .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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Caballero-Hernandez, H., Muñoz-Jimenez, V., Ramos, M.A. (2021). Steganographic Method to Data Hiding in RGB Images Using Pixels Redistribution Combining Fractal-Based Coding and DWT. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-030-80129-8_56

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