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Inverse Problems in Vision & 3D Tomography

Software / Digital Media
468 Seiten
2013
John Wiley & Sons Inc (Hersteller)
978-1-118-60386-4 (ISBN)
CHF 318,15 inkl. MwSt
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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 through the forward problem. This book focuses on imagery and vision problems that can be clearly written in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought. The chapters of this book use 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 more.

Ali Mohammad-Djafari, BSc, MSc, PhD, works at the Centre National de la Recherche Scientifique (CNRS) and Laboratoire des Signaux et Systemes (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.

Erscheint lt. Verlag 13.2.2013
Verlagsort New York
Sprache englisch
Maße 120 x 240 mm
Gewicht 28 g
Themenwelt Technik Elektrotechnik / Energietechnik
ISBN-10 1-118-60386-9 / 1118603869
ISBN-13 978-1-118-60386-4 / 9781118603864
Zustand Neuware
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