Detailed Information on Publication Record
2016
A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters
ROČEK, Aleš, Karel SLAVÍČEK, Otto DOSTÁL and Michal JAVORNÍKBasic information
Original name
A new approach to fully-reversible watermarking in medical imaging with breakthrough visibility parameters
Authors
ROČEK, Aleš (203 Czech Republic, guarantor), Karel SLAVÍČEK (203 Czech Republic, belonging to the institution), Otto DOSTÁL (203 Czech Republic, belonging to the institution) and Michal JAVORNÍK (203 Czech Republic, belonging to the institution)
Edition
Biomedical Signal Processing and Control, Elsevier, 2016, 1746-8094
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.214
RIV identification code
RIV/00216224:14610/16:00090160
Organization unit
Institute of Computer Science
UT WoS
000380081400005
Keywords in English
Communication; DICOM; Medical images; Security; Watermarking; Visual cryptography; RONI
Tags
Tags
International impact, Reviewed
Změněno: 28/4/2020 15:52, Mgr. Alena Mokrá
Abstract
V originále
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.
Links
LF14035, research and development project |
| ||
LM2015085, research and development project |
|