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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 16, Iss. 7 — Jul. 1, 1999
  • pp: 1759–1768

Regularizing strategy for image restoration and wave-front sensing by phase diversity

O. M. Bucci, A. Capozzoli, and G. D’Elia  »View Author Affiliations

JOSA A, Vol. 16, Issue 7, pp. 1759-1768 (1999)

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Restoring images blurred by an unknown optical system is a problem of interest in image processing and, in particular, in terrestrial astronomy, in which the incoming radiation from celestial objects is contaminated in an unforeseeable way by passing through the atmosphere in turbulent motion. Here a blind deconvolution method of image restoration of the phase-diversity class is presented. Numerical analysis clearly shows that the algorithm is capable of finding both the unknown incoherent object and the point-spread function, which is considered a function of a phase-aberration term only, from multiple images and in the absence of a reference source. Noise and measurement errors, such as calibration errors of the detecting optical system, are explicitly taken into account. Exploiting both the physical constraint on the optical path disturbance and a regularizing functional yields a rigorously stable problem.

© 1999 Optical Society of America

Original Manuscript: October 1, 1998
Revised Manuscript: March 12, 1999
Manuscript Accepted: March 12, 1999
Published: July 1, 1999

O. M. Bucci, A. Capozzoli, and G. D’Elia, "Regularizing strategy for image restoration and wave-front sensing by phase diversity," J. Opt. Soc. Am. A 16, 1759-1768 (1999)

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