Logo - springer
Slogan - springer

Computer Science - Image Processing | 3-D Shape Estimation and Image Restoration - Exploiting Defocus and Motion-Blur

3-D Shape Estimation and Image Restoration

Exploiting Defocus and Motion-Blur

Favaro, Paolo, Soatto, Stefano

2007, XIV, 249 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$49.95

(net) price for USA

ISBN 978-1-84628-688-9

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$69.95

(net) price for USA

ISBN 978-1-84628-176-1

free shipping for individuals worldwide

The book title is in reprint. You can already preorder it.


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$69.95

(net) price for USA

ISBN 978-1-84996-559-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

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.

Content Level » Research

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

Related subjects » Computational Science & Engineering - Image Processing - Optics & Lasers - Signals & Communication

Table of contents 

Basic models of image formation.- Some analysis: When can 3-D shape be reconstructed from blurred images?.- Least-squares shape from defocus.- Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence.- Defocus via diffusion: Modeling and reconstruction.- Dealing with motion: Unifying defocus and motion blur.- Dealing with multiple moving objects.- Dealing with occlusions.- Final remarks.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Image Processing and Computer Vision.