Maximum entropy image processing using transform domain constraints

Simple item page
dc.contributor.authorZala, C A
dc.contributor.authorBarrodale, I
dc.contributor.authorLucas, C E
dc.contributor.authorMacKinnon, R F
dc.date.accessioned2009-07-16T16:44:16Z
dc.date.available2009-07-16T16:44:16Z
dc.date.copyright1989en
dc.date.issued1989
dc.description©1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractA formulation of the maximum entropy (ME) method is described, where the data constraints are expressed in the form of fixed bounds on the elements of an orthogonal transform of the model. The bounds are set on the basis of both the observed data and an estimate of the noise statistics in the transform domain; prior knowledge, if available, can also be incorporated. Using a special-purpose conjugate gradient algorithm developed for this problem, one-dimensional examples are presented that illustrate substantial SNR enhancement using the new formulation with both Fourier and Walsh transforms. A simple strategy for selecting an initial feasible solution for the algorithm is presented.en
dc.identifier.citationZala, C., et al, PACRIM.1989, p. 87-90en
dc.identifier.urihttp://hdl.handle.net/1828/1462
dc.language.isoenen
dc.publisherIEEEen
dc.subjectconjugate gradient algorithm
dc.subjectdata constraints
dc.subjectFourier transforms
dc.subjectimage processing
dc.subjectmaximum entropy method
dc.subjectnoise statistics
dc.subjectobserved data
dc.subjectorthogonal transform
dc.subjectpicture processing
dc.subjectSNR enhancement
dc.subjecttransform domain constraints
dc.subjectWalsh transforms
dc.subject.departmentDepartment of Computer Science
dc.titleMaximum entropy image processing using transform domain constraintsen
dc.typeOtheren

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Maximum entropy image processing using transform domain constraints.pdf
Size:
401.8 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.83 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Faculty and Staff Publications
 
University of Victoria Libraries

We acknowledge and respect the Lək̓ʷəŋən (Songhees and Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and W̱SÁNEĆ Peoples whose historical relationships with the land continue to this day.