Accession Number:
ADA142201
Title:
An Iterative Method for Restoring Noisy Blurred Images.
Descriptive Note:
Technical rept.,
Corporate Author:
GEORGIA INST OF TECH ATLANTA SCHOOL OF ELECTRICAL ENGINEERING
Personal Author(s):
Report Date:
1984-01-01
Pagination or Media Count:
5.0
Abstract:
This paper introduces a new iterative image restoration method which is capable of restoring noisy, blurred images by incorporating a priori knowledge about the image and noise statistics into the iterative procedure. The iteration equation consists of a prediction part which is based on a noncausal image model description and an innovation part which is weighted by a gain factor. The gain is computed using a linear MSE optimization procedure and is updated at each step of the iteration. This image restoration scheme can be interpreted as an iterative procedure with a statistical constraint on the image data.
Descriptors:
Subject Categories:
- Statistics and Probability
- Cybernetics