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2020 | OriginalPaper | Chapter

Robust Reversible Watermarking for Grayscale Medical Images

Authors : Tanima Dutta, Randheer Bagi, Hari Prabhat Gupta

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

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Abstract

Robust reversible watermarking algorithms applied to protect medical imaging from misdiagnosis for any slight distortion. It suited for tasks like copyright protection while preserving the visual quality of watermarked images. It also shows robustness against transmission errors. We propose a novel robust reversible watermarking technique for grayscale medical images. We investigate the high embedding capacity watermarking technique also keeping low distortion in the watermarked images. We demonstrate the accuracy of the reversibility even in error-prone transmission channels. Our simulations show that the proposed technique effectively retains the perceptual quality.

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Metadata
Title
Robust Reversible Watermarking for Grayscale Medical Images
Authors
Tanima Dutta
Randheer Bagi
Hari Prabhat Gupta
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Data and Information Sciences

Print ISBN: 978-981-15-0693-2

Electronic ISBN: 978-981-15-0694-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0694-9_57