Medical Image Watermarking: High Capacity, Reversible Data Hiding Using CDCS Along With Medical Image Authentication - Couverture souple

Brar, Amrinder Singh; Kaur, Mandeep; Kaur, Sumandeep

 
9783659288845: Medical Image Watermarking: High Capacity, Reversible Data Hiding Using CDCS Along With Medical Image Authentication
Couverture souple
ISBN 10 : 3659288845 ISBN 13 : 9783659288845
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Healthcare institution that handles a number of patients, opinions is often sought from different experts. It demands the exchange of the medical history of the patient among the experts which includes the medical images, prescriptions and electronic patient records (EPR) etc. In order to reduce the storage and transmission cost, data hiding techniques are used to embed patient information within medical images. In medical imaging applications, there are stringent constraints on image fidelity that strictly prohibit any permanent image distortion by the watermarking. Authenticity is another important aspect in medical image watermarking. To overcome the problem of occurrence of artifacts and to produce zero distorted or noise free watermarked medical images; this book presents the technique in which authors used modified difference expansion watermarking using LSB replacement in the difference of virtual border for watermarking of medical images. The Class Dependent Coding Scheme (CDCS) is used to encode the electronic patient record (EPR) data for increasing the embedding capacity. Thus providing new levels to the research in the field of medical image watermarking.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Healthcare institution that handles a number of patients, opinions is often sought from different experts. It demands the exchange of the medical history of the patient among the experts which includes the medical images, prescriptions and electronic patient records (EPR) etc. In order to reduce the storage and transmission cost, data hiding techniques are used to embed patient information within medical images. In medical imaging applications, there are stringent constraints on image fidelity that strictly prohibit any permanent image distortion by the watermarking. Authenticity is another important aspect in medical image watermarking. To overcome the problem of occurrence of artifacts and to produce zero distorted or noise free watermarked medical images; this book presents the technique in which authors used modified difference expansion watermarking using LSB replacement in the difference of virtual border for watermarking of medical images. The Class Dependent Coding Scheme (CDCS) is used to encode the electronic patient record (EPR) data for increasing the embedding capacity. Thus providing new levels to the research in the field of medical image watermarking.

Biographie de l'auteur

Amrinder singh Brar is an Assistant Professor in the Department of Computer Science Engineering at BFCET, Bathinda. Well Known for his innovative research in the area of Medical Image Watermarking, he has served as a researcher for one year at Panjab University, Chandigarh. He did his Master of Enigneering in IT from Panjab University, Chandigarh.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659288845
ISBN 13 
9783659288845
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
Personne responsable
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