Accession Number:

ADA196142

Title:

Statistical Image Restoration and Refinement

Descriptive Note:

Corporate Author:

BATH UNIV (UNITED KINGDOM) SCHOOL OF MATHEMATICAL SCIENCES

Personal Author(s):

Report Date:

1986-01-01

Pagination or Media Count:

8.0

Abstract:

We consider the problem of reconstructing an image from a noisy record. We describe existing methods due to Geman and Geman 1984 and Besag 1986 which use a Markov random field model for the true scene but assume that each pixel consists of a single colour. In order to improve the quality of the restoration at the boundary of regions of different colours we extend these methods to allow pixels to contain two regions of colour separated by a single straight line. An algorithm for performing the reconstruction is presented and illustrated by an example.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE