Survey on Reversible Watermarking Techniques of Echocardiography
Author(s) -
Rabiya Ghafoor,
Danish Saleem,
Sajjad Shaukat Jamal,
Muhammad Ishtiaq,
Sadaf Ejaz,
Arif Jamal Malik,
Muhammad Fahad Khan
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/8820082
Subject(s) - robustness (evolution) , digital watermarking , computer science , payload (computing) , histogram , data mining , artificial intelligence , algorithm , computer vision , computer security , image (mathematics) , biochemistry , chemistry , network packet , gene
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. *e 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. *e RW methods are benchmarked as per imperceptibility, robustness, and payload. *e survey presents a comparison of state-of-the-art RW techniques. *e 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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