Accession Number : ADA193736

Title :   Statistical Image Restoration and Refinement,

Corporate Author : BATH UNIV (ENGLAND) SCHOOL OF MATHEMATICAL SCIENCES

Personal Author(s) : Jennison, Christopher ; Jubb, Michael

PDF Url : ADA193736

Report Date : Jan 1986

Pagination or Media Count : 8

Abstract : This document considers the problem of reconstructing an image from a noisy record. It describes 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 the authors 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. Keywords: Split pixels, Restoration algorithms.

Descriptors :   *ALGORITHMS, *IMAGE RESTORATION, COLORS, MARKOV PROCESSES, MATHEMATICAL MODELS, RANDOM VARIABLES, STATISTICS

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE