Entropy-Based Algorithm For Reducing Artifacts In Image Restoration

We introduce a simple algorithm to reduce artifacts that often appear in image restoration techniques such as Wiener filtering. The algorithm starts with the inverse filter solution and iteratively calculates the correction term. At each iteration we use an entropy gradient and an analytically calcu...

Full description

Saved in:
Bibliographic Details
Published in:Optical Engineering 1987-07, Vol.26 (7), p.267617-267617
Main Authors: Gonsalves, Robert A, Kao, Huei-Mei
Format: Article
Language:English
Subjects:
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Imaging and optical processing
Optics
Physics
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We introduce a simple algorithm to reduce artifacts that often appear in image restoration techniques such as Wiener filtering. The algorithm starts with the inverse filter solution and iteratively calculates the correction term. At each iteration we use an entropy gradient and an analytically calculated step size. The algorithm uses two Fourier transforms per iteration. We show both 1 -D and 2-D examples to illustrate the algorithm.
ISSN:0091-3286
1560-2303
DOI:10.1117/12.7974126