Mathematics Improves Astronomical Image Understanding

Details Mathematics Improves Astronomical Image Understanding Mathematics Improves Astronomical Image Understanding

Oct 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aipc.1283..215s&link_type=abstract

MATHEMATICS AND ASTRONOMY: A JOINT LONG JOURNEY: Proceedings of the International Conference. AIP Conference Proceedings, Volum

Computer Science

Robotics

Image Processing, Signal Processing, Flow Visualisation, Robot Dynamics, Image Processing, Telecommunications: Signal Transmission And Processing, Communication Satellites, Flow Visualization And Imaging, Robotics

Scientific paper

Mathematics is the fundamental tool in astronomical image processing by allowing to significantly improve understanding of astronomical images. Mathematical methods enable to recover hidden information very often unobservable for human interpreters. This article introduces an overview of several mathematical image reconstruction methods developed recently by authors. The multichannel approach to reconstruction is based on blind deconvolution, classical superresolution, and exceptionally efficient Markovian random models, respectively.

Affiliated with

Also associated with

No associations

Rating

Mathematics Improves Astronomical Image Understanding 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 Mathematics Improves Astronomical Image Understanding, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mathematics Improves Astronomical Image Understanding will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1403536