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Neural Computing and Applications

, Volume 30, Issue 7, pp 2017–2028 | Cite as

A lossless data hiding scheme for medical images using a hybrid solution based on IBRW error histogram computation and quartered interpolation with greedy weights

  • Mohammad Reza KhosraviEmail author
  • Mehran Yazdi
S.I. : Deep Learning for Biomedical and Healthcare Applications

Abstract

In the digital world, watermarking technology is a solution for data hiding and completely essential for management and secure communications of digital data propagated over the internet-based platforms. Reversible watermarking is a quality-aware type of watermarking which has been applied in managing digital contents such as digital images, texts, audios and videos. Reversible watermarking is also known as lossless watermarking due to its preservation of all details of host and hidden data. One of the important uses of this kind of watermarking is to manage medical data regarding DICOM images. In the recent years, a new type of reversible watermarking technology entitled interpolation-based reversible watermarking has been introduced, and we are going to enhance it for DICOM images by using a hybrid approach based on computing error histogram and by applying an image interpolation with greedy weights (adaptive weighting). In practice, simulation results clearly show better performance of the proposed scheme compared to the previous techniques using interpolation-based reversible watermarking on different DICOM images.

Keywords

Reversible watermarking Digital Imaging and Communications in Medicine (DICOM) Interpolation-Based Reversible Watermarking (IBRW) Error histogram Greedy Weights in Quartered Interpolation (GWQI) Differential Expansion (DE) 

Notes

Acknowledgements

The authors warmly thank Mohammad Arabzadeh for his support. In addition, we would like to thank all reviewers and editors for their helpful comments and efforts.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflicts of interest.

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Copyright information

© The Natural Computing Applications Forum 2018

Authors and Affiliations

  1. 1.Department of Electrical and Electronic EngineeringShiraz University of TechnologyShirazIran
  2. 2.Computer Engineering DepartmentPersian Gulf UniversityBushehrIran
  3. 3.Department of Communications and Electronic EngineeringShiraz UniversityShirazIran

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