Variational Methods in Imaging

Author:   Otmar Scherzer ,  Markus Grasmair ,  Harald Grossauer ,  Markus Haltmeier
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2009
Volume:   167
ISBN:  

9781441921666


Pages:   320
Publication Date:   19 November 2010
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Variational Methods in Imaging


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Overview

This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Many numerical examples accompany the theory throughout the text. It is geared towards graduate students and researchers in applied mathematics. Researchers in the area of imaging science will also find this book appealing. It can serve as a main text in courses in image processing or as a supplemental text for courses on regularization and inverse problems at the graduate level.

Full Product Details

Author:   Otmar Scherzer ,  Markus Grasmair ,  Harald Grossauer ,  Markus Haltmeier
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2009
Volume:   167
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.516kg
ISBN:  

9781441921666


ISBN 10:   1441921664
Pages:   320
Publication Date:   19 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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Reviews

From the reviews: Imaging is a wide area of applied mathematics which covers inverse problems, data filtering ... medical diagnosis, etc. ... The book is structured in a logical manner, starting with motivating examples and building on them. ... One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real ... . This is ... a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject. (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j) The book is mainly devoted to variational methods in imaging. It is divided into three parts. ... The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is ... important for the image processing community. (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)


From the reviews: Imaging is a wide area of applied mathematics which covers inverse problems, data filtering ! medical diagnosis, etc. ! The book is structured in a logical manner, starting with motivating examples and building on them. ! One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real ! . This is ! a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject. (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j) The book is mainly devoted to variational methods in imaging. It is divided into three parts. ! The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is ! important for the image processing community. (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)


"From the reviews: ""Imaging is a wide area of applied mathematics which covers inverse problems, data filtering … medical diagnosis, etc. … The book is structured in a logical manner, starting with motivating examples and building on them. … One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real … . This is … a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject."" (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j) “The book is mainly devoted to variational methods in imaging. It is divided into three parts. … The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is … important for the image processing community.” (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)"


From the reviews: Imaging is a wide area of applied mathematics which covers inverse problems, data filtering ! medical diagnosis, etc. ! The book is structured in a logical manner, starting with motivating examples and building on them. ! One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real ! . This is ! a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject. (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j) The book is mainly devoted to variational methods in imaging. It is divided into three parts. ! The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is ! important for the image processing community. (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)


From the reviews: Imaging is a wide area of applied mathematics which covers inverse problems, data filtering ... medical diagnosis, etc. ... The book is structured in a logical manner, starting with motivating examples and building on them. ... One of the strengths of this book is its real-life applications and analytical and numerical results presented at each step, keeping the content real ... . This is ... a book for the seasoned researchers or graduate students who look to deepen their understanding of the subject. (Bogdan G. Nita, Mathematical Reviews, Issue 2009 j) The book is mainly devoted to variational methods in imaging. It is divided into three parts. ... The book is interesting in particular for its rigorous presentation of many proved mathematical results, and is ... important for the image processing community. (Alessandro Duci, Zentralblatt MATH, Vol. 1177, 2010)


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