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Proceedings Paper

Image deconvolution and noise control
Author(s): Olli P. Yli-Harja; Pasi Rustanius; Samuli Reponen
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Paper Abstract

This paper considers the problem of image deconvolution, or more precisely, sharpening blurred and noisy images. Using common sharpening methods, which include for example convolution with Laplacian, produces amplified noise. To reduce noise, a median filter is used, resulting in a sequence of sharpening-median cascade filtering, to be applied to an image sequentially. Now, using different sharpening-median filtering sequences produces different kinds of sharpening results. Examples of these differences are given by simulations in one-dimensional cases with noisy edges. Examples of sharpening real photographs are given and comparison with existing techniques is reported.

Paper Details

Date Published: 8 May 2001
PDF: 11 pages
Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); doi: 10.1117/12.424982
Show Author Affiliations
Olli P. Yli-Harja, Tampere Univ. of Technology (Finland)
Pasi Rustanius, Tampere Univ. of Technology (Finland)
Samuli Reponen, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 4304:
Nonlinear Image Processing and Pattern Analysis XII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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