Skip to main content
  • Book
  • © 2007

3-D Shape Estimation and Image Restoration

Exploiting Defocus and Motion-Blur

Authors:

(view affiliations)
  • Describes analytical processes

  • Delineates the options open to programmers

  • Presents original algorithms

  • Demonstrates a coherent analytical framework for the analysis and design of algorithms to estimate 3D shape from defocused and blurred images

  • 10k Accesses

Buying options

eBook
USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-1-84628-688-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 69.95
Price excludes VAT (USA)
Hardcover Book
USD 69.95
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

About this 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.

Topics and Features include:

• Comprehensive introduction to guide readers through the different areas of the topic

• Basic models of image formation

• Discussion of least-squares shape from defocus

• Unifying defocus and motion blur

• Handling multiple moving objects

• Dealing with occlusions

• Appendices supply the necessary background in optimization and regularization

• www.eps.hw.ac.uk/~pf21/FavaroSoattoBook/downloads contains implementations of relevant algorithms, test data and demos.

Written for readers with interests in image processing and computer vision and with backgrounds in engineering, science or mathematics, this highly practical text/reference is accessible to advanced students or those with a degree that includes basic linear algebra and calculus courses. It can also be seen as a resource for practitioners looking to expand their knowledge in the subject.

Keywords

  • 3D
  • 3D Modeling
  • 3D Reconstruction
  • 3D Shape Estimation
  • Computer Graphics
  • Computer Vision
  • Confocal Imaging
  • Deblurring
  • Defocus
  • Image Restoration
  • Motion Blur
  • Optics
  • image processing

Reviews

"This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D shapes, and provides solutions to these problems… The book is well-written, and is equipped with Matlab code that implements the estimators presented in the chapters… I recommend this book to engineers in image processing and computer vision. Readers will learn state-of-the-art methods for shape restoration." (Hsun-Hsien Chang, ACM Computing Reviews, Vol. 49 (9), September 2008)

Authors and Affiliations

  • Heriot-Watt University, Edinburgh, UK

    Paolo Favaro

  • University of California, Los Angeles, USA

    Stefano Soatto

Bibliographic Information

Buying options

eBook
USD 54.99
Price excludes VAT (USA)
  • ISBN: 978-1-84628-688-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 69.95
Price excludes VAT (USA)
Hardcover Book
USD 69.95
Price excludes VAT (USA)