Abstract

This paper solves the problem of eliminating smearing, defocusing, and noise of aerospace images (pictures) of the earth’s surface obtained from remote probing. The type of distortion (smearing or defocusing) is determined by a modified spectral method (with the values of the distortion parameters determined from original derived formulas). The accuracy of the image reconstruction is enhanced by solving integral equations (an ill-posed problem) to determine the type of distortion and to estimate the distortion parameters. A new noise model—multipolar pulse noise—which is more adequate than bipolar pulse noise is proposed, along with a filter for filtering it out. It is shown that the image-reconstruction error can depend on the sequence in which the smear/defocusing and noise are eliminated. Results are presented for processing distorted pictures of a certain section of the earth’s surface.

© 2018 Optical Society of America

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