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Conferences > SRS > 2005 > SMA > SMA5
  • Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM
  • Technical Digest (Optica Publishing Group, 2005),
  • paper SMA5
  • •https://doi.org/10.1364/SRS.2005.SMA5

Blur identification using image features

P. J. Bones, R.P. Millane, and T.R. Bretschneider

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Abstract

A method for estimating the point spread function (PSF) of a remotely sensed image is extended. The technique developed is based on locating and measuring blurred linear features in the imagery and tomographically reconstructing the PSF. A form of blind deconvolution is applied to extract an estimate of the line spread function (LSF - equivalent to the projection of the PSF in the direction of the feature) from image features able to be modelled by a combination of two step functions. Two methods of performing the blind deconvolution are compared. A method for utilising the LSF estimates to provide an image quality metric is proposed.

© 2005 Optical Society of America

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