Home
»
Mathematics in Image Processing
Mathematics in Image Processing
Regular price
€119.99
603 verified reviews
100% verified
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock
14-28 Working Days: On Backorder
Will Deliver When Available: On Pre-Order or Reprinting
We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!
Close
Category=PBW
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Product details
- ISBN 9780821898413
- Weight: 670g
- Publication Date: 30 Jul 2013
- Publisher: American Mathematical Society
- Publication City/Country: US
- Product Form: Hardback
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 analysed 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. Centred 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 modelling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.
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 modelling of images and simulation of elasticity, biomechanics, and virtual surgery. Recent advances in image processing, compressed sensing and sparse representation are discussed.
Hongkai Zhao, University of California, Irvine, CA, USA.
Mathematics in Image Processing
€119.99
