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ROČEK, A. SLAVÍČEK, K. DOSTÁL, O. JAVORNÍK, M.
Original Title
A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters
Type
journal article in Web of Science
Language
English
Original Abstract
Securing of medical images against intentional or accidental modification is a general issue in modern radiology. Watermarking, with its data-centric security, is very convenient for this purpose. We proposed a new method of fully reversible watermarking in medical imaging by combining the advantages of three traditional approaches - Reversible, Zero and RONI watermarking. The new method achieves exceptionally high values of Peak Signal to Noise Ratio and Structural Similarity index. The article evaluates the pros and cons of current methods of watermarking in medical imaging. Keeping the pros and eliminating the cons of the methods allows a new approach. Specific methods are selected and their application in practice described in detail. Application of the proposed method on a database of 6000 medical images from common hospital operations delivers very promising results which are discussed at the end of the article.
Keywords
Communication; DICOM; Medical images; Security; Watermarking; Visual cryptography; RONI
Authors
ROČEK, A.; SLAVÍČEK, K.; DOSTÁL, O.; JAVORNÍK, M.
Released
10. 6. 2016
Publisher
Elsevier
Location
Nizozemí
ISBN
1746-8094
Periodical
BIOMED SIGNAL PROCES
Year of study
29
Number
1
State
United Kingdom of Great Britain and Northern Ireland
Pages from
44
Pages to
52
Pages count
9
URL
https://www.sciencedirect.com/science/article/pii/S1746809416300477
Full text in the Digital Library
http://hdl.handle.net/11012/204189
BibTex
@article{BUT125960, author="Aleš {Roček} and Karel {Slavíček} and Otto {Dostál} and Michal {Javorník}", title="A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters", journal="BIOMED SIGNAL PROCES", year="2016", volume="29", number="1", pages="44--52", doi="10.1016/j.bspc.2016.05.005", issn="1746-8094", url="https://www.sciencedirect.com/science/article/pii/S1746809416300477" }