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Mathematics in Image Processing
 
Edited by: Hongkai Zhao University of California, Irvine, Irvine, CA
A co-publication of the AMS and IAS/Park City Mathematics Institute
Mathematics in Image Processing
Hardcover ISBN:  978-0-8218-9841-3
Product Code:  PCMS/19
List Price: $125.00
MAA Member Price: $112.50
AMS Member Price: $100.00
eBook ISBN:  978-0-8218-9870-3
Product Code:  PCMS/19.E
List Price: $112.00
MAA Member Price: $100.80
AMS Member Price: $89.60
Hardcover ISBN:  978-0-8218-9841-3
eBook: ISBN:  978-0-8218-9870-3
Product Code:  PCMS/19.B
List Price: $237.00 $181.00
MAA Member Price: $213.30 $162.90
AMS Member Price: $189.60 $144.80
Mathematics in Image Processing
Click above image for expanded view
Mathematics in Image Processing
Edited by: Hongkai Zhao University of California, Irvine, Irvine, CA
A co-publication of the AMS and IAS/Park City Mathematics Institute
Hardcover ISBN:  978-0-8218-9841-3
Product Code:  PCMS/19
List Price: $125.00
MAA Member Price: $112.50
AMS Member Price: $100.00
eBook ISBN:  978-0-8218-9870-3
Product Code:  PCMS/19.E
List Price: $112.00
MAA Member Price: $100.80
AMS Member Price: $89.60
Hardcover ISBN:  978-0-8218-9841-3
eBook ISBN:  978-0-8218-9870-3
Product Code:  PCMS/19.B
List Price: $237.00 $181.00
MAA Member Price: $213.30 $162.90
AMS Member Price: $189.60 $144.80
  • Book Details
     
     
    IAS/Park City Mathematics Series
    Volume: 192013; 245 pp
    MSC: Primary 35; 42; 49; 65; 94;

    The theme of the 2010 PCMI Summer School was Mathematics in Image Processing in a broad sense, including mathematical theory, analysis, computation algorithms and applications. In image processing, information needs to be processed, extracted and analyzed from visual content, such as photographs or videos. These demands include standard tasks such as compression and denoising, as well as high-level understanding and analysis, such as recognition and classification. Centered on the theme of mathematics in image processing, the summer school covered quite a wide spectrum of topics in this field. The summer school is particularly timely and exciting due to the very recent advances and developments in the mathematical theory and computational methods for sparse representation.

    This volume collects three self-contained lecture series. The topics are multi-resolution based wavelet frames and applications to image processing, sparse and redundant representation modeling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.

    Titles in this series are co-published with the Institute for Advanced Study/Park City Mathematics Institute.

    Readership

    Graduate students and research mathematicians interested in the mathematics of image processing.

  • Table of Contents
     
     
    • Chapters
    • Introduction
    • MRA-based wavelet frames and applications
    • Five lectures on sparse and redundant representations modelling of images
    • Simulation of elasticity, biomechanics, and virtual surgery
  • Additional Material
     
     
  • Reviews
     
     
    • In summary, the book gives nice and concise overviews on wavelet-frame based image processing, spare and redundant representation models and simulation of elastic materials and can be recommended to students and lecturers.

      DMV
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
Volume: 192013; 245 pp
MSC: Primary 35; 42; 49; 65; 94;

The theme of the 2010 PCMI Summer School was Mathematics in Image Processing in a broad sense, including mathematical theory, analysis, computation algorithms and applications. In image processing, information needs to be processed, extracted and analyzed from visual content, such as photographs or videos. These demands include standard tasks such as compression and denoising, as well as high-level understanding and analysis, such as recognition and classification. Centered on the theme of mathematics in image processing, the summer school covered quite a wide spectrum of topics in this field. The summer school is particularly timely and exciting due to the very recent advances and developments in the mathematical theory and computational methods for sparse representation.

This volume collects three self-contained lecture series. The topics are multi-resolution based wavelet frames and applications to image processing, sparse and redundant representation modeling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.

Titles in this series are co-published with the Institute for Advanced Study/Park City Mathematics Institute.

Readership

Graduate students and research mathematicians interested in the mathematics of image processing.

  • Chapters
  • Introduction
  • MRA-based wavelet frames and applications
  • Five lectures on sparse and redundant representations modelling of images
  • Simulation of elasticity, biomechanics, and virtual surgery
  • In summary, the book gives nice and concise overviews on wavelet-frame based image processing, spare and redundant representation models and simulation of elastic materials and can be recommended to students and lecturers.

    DMV
Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
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