Inverse Problems in Vision and 3D Tomography, 1st Edition, 9781848211728
Hardcover
The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc. ) and computer vision.

Inverse Problems in Vision and 3D Tomography, 1st Edition

$651.06

  • Hardcover

    467 pages

  • Release Date

    13 January 2010

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Summary

The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked to these unobserved quantities by a known physical or mathematical relationship. In this manner…

Book Details

ISBN-13:9781848211728
ISBN-10:1848211724
Author:Ali Mohamad-Djafari
Publisher:ISTE Ltd and John Wiley & Sons Inc
Imprint:ISTE Ltd and John Wiley & Sons Inc
Format:Hardcover
Number of Pages:467
Edition:1st
Release Date:13 January 2010
Weight:835g
Dimensions:241mm x 165mm x 34mm
Series:Digital Signal and Image Processing
What They're Saying

Critics Review

“Apart from the high price I can recommend this book if you are interested in imaging or artificial vision.” (I Programmer, 3 February 2011)

“Apart from the high price I can recommend this book if you are interested in imaging or artificial vision.” (I Programmer, 3 February 2011)

About The Author

Ali Mohamad-Djafari

Ali Mohammad-Djafari, BSc, MSc, PhD, works at the Centre National de la Recherche Scientifique (CNRS) and Laboratoire des Signaux et Systèmes (L2S). He is currently director of research and his main scientific interests are in developing new probabilistic methods based on Bayesian inference, information theory and maximum entropy approaches for inverse problems in general, and more specifically in imaging and vision.

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