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

By Paolo Favaro and Stefano Soatto

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1849965595
• ISBN13: 9781849965590
• Release Date: February 2013
• Publisher: Springer
• Length: 249 Pages
• Weight: 0.82 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"