Nonlinear image processing based on optimization of generalized information methods

Details Nonlinear image processing based on optimization of generalized information methods Nonlinear image processing based on optimization of generalized information methods

2002-04-30

arxiv.org/abs/astro-ph/0204517v1

Astronomy and Astrophysics

Astrophysics

Latex, 7 pages, corrected version of the paper published in book ``Advances in intelligent systems'',Ed. by F.C.Morabito, IOS

Scientific paper

A range of nonlinear image reconstruction procedures based on extremizing the generalized Shannon entropy, Kullback-Leibler cross-entropy and Renyi information measures and proposed by the author in early papers is presented. The ``generalization'' assumes search for the solution over the space of real bipolar or complex functions. Such an approach allows, first, to reconstruct signals of any type and physical nature and, secondly, to decrease nonlinear intensity image distortions caused by measurement errors. All the elaborated procedures are contained in VLBI ``IMAGE'' program package developed in IAA RAS.

Affiliated with

Also associated with

No associations

Rating

Nonlinear image processing based on optimization of generalized information methods 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 Nonlinear image processing based on optimization of generalized information methods, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Nonlinear image processing based on optimization of generalized information methods will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-625915