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Cognitive Channel Decoding

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Advances in Information and Communication Networks (FICC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 886))

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Abstract

Improved authentication of images is presented, with additional improved quality of the image in sense of enhanced error correction. The algorithm is based on the idea on synergic effect of channel coding and cryptographic mechanisms used for authentication, e.g. Message Authentication Codes. The algorithm is not limited on image processing, but used for image authentication as a study case. Simulation results show the measure of gained image quality.

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References

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Author information

Authors and Affiliations

  1. Institute for Data Communications Systems, University of Siegen, 57076, Siegen, Germany

    Nataša Živić & Christoph Ruland

Authors
  1. Nataša Živić
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  2. Christoph Ruland
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Corresponding author

Correspondence to Nataša Živić .

Editor information

Editors and Affiliations

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

    Kohei Arai

  2. The Science and Information (SAI) Organization, London, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Živić, N., Ruland, C. (2019). Cognitive Channel Decoding. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886. Springer, Cham. https://doi.org/10.1007/978-3-030-03402-3_4

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