3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur - Couverture souple

Favaro, Paolo; Soatto, Stefano

 
9781849965590: 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur

Synopsis

Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scene — as well as its radiance properties — and which in turn can be used to generate novel images with better quality. The book presents a coherent analytical framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It further provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.

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Présentation de l'éditeur

In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.

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