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Image restoration
Author(s) -
Qiu Peihua
Publication year - 2009
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.7
Subject(s) - deblurring , image restoration , preprocessor , artificial intelligence , computer science , image (mathematics) , computer vision , noise (video) , image processing , noise reduction , feature detection (computer vision) , pattern recognition (psychology)
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