Inverse Problems in Vision and 3D Tomography

. Ed(s): Mohammad-Djafari, Ali

ISBN 10: 1848211724 / ISBN 13: 9781848211728

Published by ISTE Ltd and John Wiley & Sons Inc, 2009

About this Item

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. Editor(s): Mohammad-Djafari, Ali. Series: ISTE. Num Pages: 468 pages, Illustrations. BIC Classification: PBW; UYT. Category: (P) Professional & Vocational. Dimension: 237 x 163 x 31. Weight in Grams: 832. . 2009. . . . .

Seller Inventory # V9781848211728

Bibliographic Details

• Title: Inverse Problems in Vision and 3D Tomography
• Publisher: ISTE Ltd and John Wiley & Sons Inc
• Publication Date: 2009
• Language: English
• ISBN 10: 1848211724
• ISBN 13: 9781848211728
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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 techniques such as image enhancement or addition of hidden detail can be delivered. This book focuses on imaging and vision problems that can be clearly described in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought.

The book uses a consistent methodology to examine inverse problems such as: noise removal; restoration by deconvolution; 2D or 3D reconstruction in X-ray, tomography or microwave imaging; reconstruction of the surface of a 3D object using X-ray tomography or making use of its shading; reconstruction of the surface of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images mixed using instruments with different sensitivities or transfer functions; and much more.

About the Author

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.