Article first published online: 7 JUL 2009
Copyright © 2008 Wiley Periodicals, Inc., A Wiley Company
Wiley Interdisciplinary Reviews: Computational Statistics
Volume 1, Issue 1, pages 110–113, July/August 2009
How to Cite
Qiu, P. (2009), Image restoration. WIREs Comp Stat, 1: 110–113. doi: 10.1002/wics.7
- Issue published online: 13 JUL 2009
- Article first published online: 7 JUL 2009
- inverse problem;
- jump surface estimation
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.
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