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Image restoration

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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’.

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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.

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