Tomographic blur identification using image edges
Philip J. Bones, Timo Rolf Bretschneider, Christopher Jes Forne, Rick P. Millane, Stephen J. E. McNeill · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.