Tomographic blur identification using image edges

Details Tomographic blur identification using image edges Tomographic blur identification using image edges

Nov 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..133b&link_type=abstract

Proc. SPIE Vol. 4123, p. 133-141, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.

Computer Science

Scientific paper

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.

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