Robust Reversible Watermarking for Grayscale Medical Images

Dutta, Tanima; Bagi, Randheer; Gupta, Hari Prabhat

doi:10.1007/978-981-15-0694-9_57

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…In 2020, spatial domain-based method was proposed by Dutta et al [19] for watermarking. By exploiting spatial redundancy of vastly correlated pixels, this technique achieved robustness and visual quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Survey on Reversible Watermarking Techniques of Echocardiography

Ghafoor

Saleem

Jamal

et al. 2021

Security and Communication Networks

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In critical domains such as medical and military, reversible watermarking (RW) has been used. In the medical domain, different modalities are used to store patient information. The current study focuses on the application of RW in echocardiography data. Mostly, RW is applied to protect patient data without affecting the quality of the decoded image. The RW methods are benchmarked as per imperceptibility, robustness, and payload. The survey presents a comparison of state-of-the-art RW techniques. The imperceptibility and payload are balanced through a tradeoff. It has been observed in the literature that most of the RW methods lack robustness, and very small-scale robustness has been achieved in this domain of watermarking. Different types of RW, i.e., fragile, semifragile, and robust methods, are being compared and reviewed. Mostly, fragile methods are developed on the error-expansion techniques built on histogram shifting-based approach. In this study, several RW methods are compared and the results are presented.

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Section: Literature Reviewmentioning

confidence: 99%