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

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.

Subject Categories:

  • Statistics and Probability
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE