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

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Image Processing

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Regularizing strategy for image restoration and wave-front sensing by phase diversity. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Regularizing strategy for image restoration and wave-front sensing by phase diversity., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Regularizing strategy for image restoration and wave-front sensing by phase diversity. will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-995963

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.