Tomographic blur identification using image edges

Philip J. Bones; Timo Bretschneider; Christopher J. Forne; Rick P. Millane; Stephen J. McNeill

doi:10.1117/12.409264

16 November 2000 Tomographic blur identification using image edges

Philip J. Bones, Timo Bretschneider, Christopher J. Forne, Rick P. Millane, Stephen J. McNeill

Proceedings Volume 4123, Image Reconstruction from Incomplete Data; (2000) https://doi.org/10.1117/12.409264
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Philip J. Bones, Timo Bretschneider, Christopher J. Forne, Rick P. Millane, and Stephen J. McNeill "Tomographic blur identification using image edges", Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); https://doi.org/10.1117/12.409264

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