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ROČEK, A. SLAVÍČEK, K. DOSTÁL, O. JAVORNÍK, M.
Originální název
A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Communication; DICOM; Medical images; Security; Watermarking; Visual cryptography; RONI
Autoři
ROČEK, A.; SLAVÍČEK, K.; DOSTÁL, O.; JAVORNÍK, M.
Vydáno
10. 6. 2016
Nakladatel
Elsevier
Místo
Nizozemí
ISSN
1746-8094
Periodikum
BIOMED SIGNAL PROCES
Ročník
29
Číslo
1
Stát
Spojené království Velké Británie a Severního Irska
Strany od
44
Strany do
52
Strany počet
9
URL
https://www.sciencedirect.com/science/article/pii/S1746809416300477
Plný text v Digitální knihovně
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" }