Physics – Optics
Scientific paper
Feb 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995apopt..34..767m&link_type=abstract
Applied Optics IP, vol. 34, Issue 5, p.767
Physics
Optics
5
Noise, Adaptive Optics, Imagery, Superresolution, Convolution/Deconvolution
Scientific paper
The use of support constraints for noise reduction in images obtained with telescopes that use adaptive optics for atmospheric correction is discussed. Noise covariances are derived for these type of data, including the effects of photon noise and CCD read noise. The effectiveness of support constraints in achieving noise reduction is discussed in terms of these noise properties and in terms of the types of algorithms used to enforce the support constraint. Both a convex-projections and a cost-function minimization algorithm are used to enforce the support constraints, and it is shown with the use of computer simulations and field data that the cost-function algorithm results in artifacts in the reconstructions. The convex-projections algorithms produced mean-square-error decreases in the image domain of approximately 10% for high light levels but essentially no error decreases for low light levels. We emphasize images that are well resolved by the telescope and adaptive-optics system.
Matson Charles L.
Roggemann Michael C.
No associations
LandOfFree
Noise reduction in adaptive-optics imagery with the use of support constraints 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 Noise reduction in adaptive-optics imagery with the use of support constraints, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Noise reduction in adaptive-optics imagery with the use of support constraints will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1631277