Cambridge Monographs on Applied and Computational Mathematics: Partial Differential Equation Methods for Image Inpainting Series Number 29

Schonlieb, Carola-Bibiane

ISBN 10: 1107001005 / ISBN 13: 9781107001008

Published by Cambridge University Press, Cambridge, 2015

About this Item

***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. 250 p. Audience: Professional and scholarly.

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Bibliographic Details

• Title: Cambridge Monographs on Applied and Computational Mathematics: Partial Differential Equation Methods for Image Inpainting Series Number 29
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2015
• Language: English
• ISBN 10: 1107001005
• ISBN 13: 9781107001008
• Binding: Trade paperback
• Edition: First edition. INTERNATIONAL EDITION
• Condition: New in new dust jacket.

About this title

Synopsis

This book is concerned with digital image processing techniques that use partial differential equations (PDE) for the task of image 'inpainting,' an artistic term for virtual image restoration or interpolation, whereby missing or occluded parts in images are completed based on information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged paintings or manipulate photographs. Today, mathematicians apply powerful methods based on PDE to automate this task. This book introduces the mathematical concept of PDE for virtual image restoration. It gives the full picture, from the first modelling steps originating in Gestalt theory and arts restoration to the analysis of resulting PDE models, numerical realisation and real world application. This broad approach also gives insight into functional analysis, variational calculus, optimisation and numerical analysis and will appeal to researchers and graduate students in mathematics with an interest in image processing and mathematical analysis.

About the Author

Carola-Bibiane Schönlieb is a Lecturer in Applied and Computational Analysis and Head of the Cambridge Image Analysis group at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge.