Digital Image Quality in Medicine
Author:   Oleg S. Pianykh
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
ISBN:  

9783319017594


Pages:   123
Publication Date:   08 November 2013
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Digital Image Quality in Medicine


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Full Product Details

Author:   Oleg S. Pianykh
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319017594


ISBN 10:   3319017594
Pages:   123
Publication Date:   08 November 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction.- A Bit of History and Touch of Philosophy.- Image Interpolation.- Image Compression.- Image Enhancement.- Image Quality Online.- Image Display.- DICOM Calibration and GSDF.- Conclusion.

Reviews

From the book reviews: This text is a wonderful review of the essential technologies and computational algorithms for assuring digital image quality in medical applications. The vast use of images in the figures presented throughout the text greatly enhances the presentation of the material. In addition, numerous diagrams and tables are included to further provide the reader with information to maximize the learning experience. The book is a welcome addition to the medical imaging practitioner s library. (Michael Goldberg, Computing Reviews, September, 2014)


From the book reviews: “This text is a wonderful review of the essential technologies and computational algorithms for assuring digital image quality in medical applications. … The vast use of images in the figures presented throughout the text greatly enhances the presentation of the material. In addition, numerous diagrams and tables are included to further provide the reader with information to maximize the learning experience. … The book is a welcome addition to the medical imaging practitioner’s library.” (Michael Goldberg, Computing Reviews, September, 2014)


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