Maximum entropy restoration of noisy star images

Details Maximum entropy restoration of noisy star images Maximum entropy restoration of noisy star images

May 1991

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991ap%26ss.179...75g&link_type=abstract

Astrophysics and Space Science (ISSN 0004-640X), vol. 179, no. 1, May 1991, p. 75-87.

Statistics

Computation

Image Reconstruction, Maximum Entropy Method, Stars, Computational Astrophysics, Iterative Solution, Noise Spectra, Quantum Statistics

Scientific paper

The procedure of restoration, in the presence of noise, of one-dimensional star image data is carried out using Frieden's (1983) algorithm and making the algorithm iterative. It is shown that the iterations have a marked effect on the mean square restoration error when the a priori information in terms of the biases Q(i) is taken to be that of a uniform grey object; when the Q(i) is assumed to be proportional to the image data, the iterations do not improve the restoration.

Affiliated with

Also associated with

No associations

Rating

Maximum entropy restoration of noisy star images 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 Maximum entropy restoration of noisy star images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Maximum entropy restoration of noisy star images will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1036048