3-D Shape Estimation and Image Restoration : Exploiting Defocus and Motion-Blur
- Author
- Paolo Favaro, Stefano Soatto
- Publication Year
- 2007
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
- Download Book Read book
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. 3-D Shape Estimation and Image Restoration presents a coherent 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 provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.
Keywords: Computer science / 3D / 3D Modeling / 3D Reconstruction / 3D Shape Estimation / Computer Graphics / Computer Vision / Confocal Imaging / Deblurring / Defocus / Image Restoration / Motion Blur / Optics / Image processing
