Estimation techniques of the background and detailed portion of an object in image superresolution

Physics – Optics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The extent of bandwidth extrapolation obtainable in a superresolution algorithm depends on the spatial extent of the object. However, in most of the problems encountered in real-world applications, the object is not spatially limited. To circumvent this problem, one can decompose the estimation problem into estimating the smooth background and then incorporating this knowledge to estimate the `sparsely distributed' detailed portion of the object. For example, in astronomical applications, the low photon count background is estimated initially, followed by the binary stars embedded in the background. In this paper we propose an iterative method to implement the two-step estimation technique. Further, we propose a modified version of the Richardson/Lucy algorithm to incorporate this two-step estimation. Some preliminary results on one-dimensional objects for the proposed algorithms are included.

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

Estimation techniques of the background and detailed portion of an object in image superresolution 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 Estimation techniques of the background and detailed portion of an object in image superresolution, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimation techniques of the background and detailed portion of an object in image superresolution will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-825185

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