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Conference on Internet of Things and Smart Spaces

International Workshop on Nano-scale Computing and Communications

International Conference on Next Generation Wired/Wireless Networking

ruSMART 2017, NsCC 2017, NEW2AN 2017: Internet of Things, Smart Spaces, and Next Generation Networks and Systems pp 292–299Cite as

Digital Watermarking Method Based on Image Compression Algorithms

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10531))

Abstract

Digital watermarking is an efficient method for digital access rights management utilized in the scope of multimedia data. A possibility to combine the procedure of compression and watermarking in effective way for digital images is proposed in this manuscript. This research is focused on the compression methods considering the significance of the initial multimedia object (for example image) different elements to increase the quality of process (compressed) image. One of the most effective approaches for this task is to utilize Error Correcting Codes (ECC) allowing to maintain the number of resulting errors (distortion) as well as the value of resulting compression ratio. The application of such codes enables to distribute errors that are added during the processing procedure according to predefined significance of the initial multimedia object elements. The approach based on Weighted Hamming Metric guarantying the limitation of maximum errors (distortions) with predefined significance is represented as an example.

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Acknowledgment

This work was partly financially supported by Russian Foundation for Basic Research in 2017 (grant 17-07-00849-A).

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Authors and Affiliations

  1. Saint-Petersburg University of Aerospace Instrumentation, St. Petersburg, Russia

    Sergey Bezzateev & Natalia Voloshina

  2. ITMO University, St. Petersburg, Russia

    Sergey Bezzateev & Natalia Voloshina

Authors
  1. Sergey Bezzateev
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  2. Natalia Voloshina
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Corresponding author

Correspondence to Sergey Bezzateev .

Editor information

Editors and Affiliations

  1. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Bezzateev, S., Voloshina, N. (2017). Digital Watermarking Method Based on Image Compression Algorithms. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-67380-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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