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Survey on Reversible Watermarking Techniques for Medical Images

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Multimedia Security

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

In recent years, the growth of the Internet along with multimedia data delivery has caused the misuse and even alteration of the original digital content. Multimedia data has a big share of the total data transmitted over the Internet every day. Such multimedia data is vulnerable to misuse and theft. Digital watermarking has been used traditionally to protect multimedia data by authenticating the content and by providing copyright protection. The downside of digital watermarking, however, is that it always introduces some amount of signal distortion. The distortion caused is imperceptible and doesn’t create an issue in general. But, in certain applications like the medical field, such loss of information is intolerable because the distorted information might affect the analysis of medical images and the subsequent inferences drawn from this analysis. Reversible watermarking techniques ensure that there is no information loss in the watermarking process and as such are suitable for such applications. This chapter presents an overview of reversible digital watermarking, the classification of different reversible watermarking techniques with special emphasis on the state-of-the-art reversible watermarking techniques developed for maintaining the integrity and authenticity of medical image data.

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Authors and Affiliations

  1. Department of Computer Science, School of Engineering and Technology, Islamic University of Science and Technology, Awantipora, Jammu and Kashmir, India

    Kaiser J. Giri, Zubair Jeelani, Javaid Iqbal Bhat & Rumaan Bashir

Authors
  1. Kaiser J. Giri
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  2. Zubair Jeelani
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  3. Javaid Iqbal Bhat
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  4. Rumaan Bashir
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Corresponding author

Correspondence to Zubair Jeelani .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Islamic University of Science and Technology, Pulwama, Jammu and Kashmir, India

    Kaiser J. Giri

  2. Department of Electronics and Instrumentation Technology, University of Kashmir, Srinagar, Jammu and Kashmir, India

    Shabir Ahmad Parah

  3. Department of Computer Science, Islamic University of Science and Technology, Pulwama, Jammu and Kashmir, India

    Rumaan Bashir

  4. Department of Software, Sejong University, Seoul, Korea (Republic of)

    Khan Muhammad

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Giri, K.J., Jeelani, Z., Bhat, J.I., Bashir, R. (2021). Survey on Reversible Watermarking Techniques for Medical Images. In: Giri, K.J., Parah, S.A., Bashir, R., Muhammad, K. (eds) Multimedia Security. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8711-5_9

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