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Proceedings Paper

Tomographic blur identification using image edges
Author(s): Philip J. Bones; Timo Bretschneider; Christopher J. Forne; Rick P. Millane; Stephen J. McNeill
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Paper Abstract

A method for estimating the point spread function of a remotely sensed image is described. The technique developed is based on locating and measuring blurred linear features in the imagery and tomographically reconstructing the point spread function. Image features able to be modeled by a single step function or by a combination of two steps are located. For the latter cases a form of blind deconvolution is applied to extract the estimate of the line spread function (equivalent to the projection of the point spread function in the direction of the feature). The process is unsupervised and requires only that the image contains suitable linear features. Examples are given of the estimation of blur in satellite images.

Paper Details

Date Published: 16 November 2000
PDF: 9 pages
Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); doi: 10.1117/12.409264
Show Author Affiliations
Philip J. Bones, Univ. of Canterbury (New Zealand)
Timo Bretschneider, Univ. of Canterbury (New Zealand)
Christopher J. Forne, Univ. of Canterbury (New Zealand)
Rick P. Millane, Purdue Univ. (New Zealand)
Stephen J. McNeill, Landcare Research (New Zealand)


Published in SPIE Proceedings Vol. 4123:
Image Reconstruction from Incomplete Data
Michael A. Fiddy; Rick P. Millane, Editor(s)

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