Bayesian image reconstruction with space-variant noise suppression

Details Bayesian image reconstruction with space-variant noise suppression Bayesian image reconstruction with space-variant noise suppression

Jul 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998a%26as..131..167n&link_type=abstract

Astronomy and Astrophysics Supplement, v.131, p.167-180

Astronomy and Astrophysics

Astrophysics

3

Techniques: Image Processing, Methods: Data Analysis

Scientific paper

In this paper we present a Bayesian image reconstruction algorithm with entropy prior (FMAPE) that uses a space-variant hyperparameter. The spatial variation of the hyperparameter allows different degrees of resolution in areas of different statistical characteristics, thus avoiding the large residuals resulting from algorithms that use a constant hyperparameter. In the first implementation of the algorithm, we begin by segmenting a Maximum Likelihood Estimator (MLE) reconstruction. The segmentation method is based on using a wavelet decomposition and a self-organizing neural network. The result is a predetermined number of extended regions plus a small region for each star or bright object. To assign a different value of the hyperparameter to each extended region and star, we use either feasibility tests or cross-validation methods. Once the set of hyperparameters is obtained, we carried out the final Bayesian reconstruction, leading to a reconstruction with decreased bias and excellent visual characteristics. The method has been applied to data from the non-refurbished Hubble Space Telescope. The method can be also applied to ground-based images.

Affiliated with

Also associated with

No associations

Rating

Bayesian image reconstruction with space-variant noise suppression 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 Bayesian image reconstruction with space-variant noise suppression, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian image reconstruction with space-variant noise suppression will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1341838