This Title All WIREs
How to cite this WIREs title:
WIREs Comp Stat

Image restoration

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

Abstract True images are usually degraded during image acquisition. Image restoration is for restoring true images from their observed but degraded versions; it is often used for preprocessing observed images so that subsequent image processing and analysis become more reliable. Among many different types of degradations, point degradations (or noise) and spatial degradations (or blurring) are most common in applications. This article introduces some fundamental image denoising and image deblurring methods. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Data: Types and Structure > Image and Spatial Data

(a) A blurred and noisy image; (b) deblurred image using the estimated psf obtained from a small region surrounded the letter ‘I’.

[ Normal View | Magnified View ]

Neighborhood Nn(x, y) of the point (x, y) is divided into two parts and by a line perpendicular to ; (b) a noisy image; (c) denoised image.

[ Normal View | Magnified View ]

Related Articles

Scale space methods
Statistical Methods

Browse by Topic

Data: Types and Structure > Image and Spatial Data

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts