Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process

Details Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process

Mar 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996optl...21..423g&link_type=abstract

Optics Letters, Volume 21, Issue 6, March 15, 1996, pp.423-424

Physics

Optics

Atmospheric And Ocean Optics, Atmospheric Turbulence, Image Processing, Image Reconstruction/Restoration, Turbulence

Scientific paper

We present a two-step deconvolution method for restoring images degraded
by atmospheric turbulence. The first step is linear space-invariant
filtering, and the second step is a nonhomogeneous Markov process. This
nonhomogeneous method preserves the discontinuities of the original
image better than the homogeneous method does.

Affiliated with

Also associated with

No associations

Rating

Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process 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 Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1616813