Title :
Image deblurring: I can see clearly now
Author :
Nagy, James G. ; O´Leary, Dianne P.
Author_Institution :
Dept. of Math. & Comput. Sci., Emory Univ., Atlanta, GA, USA
Abstract :
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.
Keywords :
image restoration; inverse problems; blurred image; ill-conditioning; image deblurring; image reconstruction; linear inverse problem; linear model; Educational programs; Eigenvalues and eigenfunctions; Home computing; Image restoration; Knowledge engineering; Matrix decomposition; Numerical analysis; Partial differential equations; Scientific computing; Singular value decomposition;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCISE.2003.1196312
