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Image deblurring: I can see clearly now

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2 Author(s)
Nagy, J.G. ; Dept. of Math. & Comput. Sci., Emory Univ., Atlanta, GA, USA ; O'Leary, D.P.

Inverse problems are among the most challenging computations in science and engineering because they involve determining the parameters of a system that is only observed indirectly. For example, we might have a spectrum and want to determine the species that produced it as well as their relative proportions, or we may have sonar measurements of a containment tank and want to know whether it has an internal crack. Given a blurred image and a linear model for the blurring, the original image is reconstructed. This linear inverse problem illustrates the impact of ill-conditioning on the choice of algorithms.

Published in:

Computing in Science & Engineering  (Volume:5 ,  Issue: 3 )