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3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur
Paperback
ISBN13: 9781849965590
Publisher: Springer Nature
Published: Feb 18 2013
Pages: 249
Weight: 0.82
Height: 0.55 Width: 6.14 Depth: 9.21
Language: English
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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