Geometrical Multiresolution Adaptive Transforms: Theory and Applications
Author:   Agnieszka Lisowska
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   545
ISBN:  

9783319377148


Pages:   107
Publication Date:   03 September 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Geometrical Multiresolution Adaptive Transforms: Theory and Applications


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Author:   Agnieszka Lisowska
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   545
Dimensions:   Width: 15.50cm , Height: 0.60cm , Length: 23.50cm
Weight:   1.942kg
ISBN:  

9783319377148


ISBN 10:   3319377140
Pages:   107
Publication Date:   03 September 2016
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.- Smoothlets.- Multismoothlets.- Moments-Based Multismoothlet Transform.- Image Compression.- Image Denoising.- Edge Detection.- Summary.

Reviews

From the book reviews: The book is divided into two parts. The first part is devoted to the theory of multismoothlets. ... The second part of the book is devoted to applications of the presented transforms. ... The author gives many examples presenting the notations and problems considered, so it makes the learning easier. It is suitable for students, researchers and engineers interested in multiresolution representation of images and its applications. (Krzystof Gdawiec, zbMATH, Vol. 1297, 2014)


Author Information

Agnieszka Lisowska is an assistant professor at the Institute of Computer Science, University of Silesia, where in 2006 she obtained her PhD with distinctions in the area of geometrical wavelets in Computer Science. In 2001 she completed her MSc in Mathematics at the same university. Her scientific research is concentrated on sparse representations and geometrical multiresolution methods of image processing. She invented smoothlets and multismoothlets, and the fast methods of their computations. She is the author of several journal and conference papers published among others by Springer, Elsevier or IEEE.

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