Constraining information for improvements to MAP image super-resolution

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

In this paper, the super-resolution method that we use for image restoration is the Poisson Maximum A-Posteriori (MAP) super-resolution algorithm of Hunt, computed with an iterative form. This algorithm is similar to the Maximum Likelihood of Holmes, which is derived from an Expectation/Maximization (EM) computation. Image restoration of point source data is our focus. This is because most astronomical data can be regarded as multiple point source data with a very dark background. The statistical limits imposed by photon noise on the resolution obtained by our algorithm are investigated. We improve the performance of the super-resolution algorithm by including the additional information of the spatial constraints. This is achieved by applying the well-known CLEAN algorithm, which is widely used in astronomy, to create regions of support for the potential limited optical system is used for the simulated data. The real data is two dimensional optical image data from the Hubble Space Telescope.

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

Constraining information for improvements to MAP image super-resolution 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 Constraining information for improvements to MAP image super-resolution, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Constraining information for improvements to MAP image super-resolution will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1713617

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