Accession Number : ADA331947
Title : Markov Random Field Textures and Applications in Image Processing
Descriptive Note : Master's thesis
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Korn, Christopher A.
PDF Url : ADA331947
Report Date : MAR 1997
Pagination or Media Count : 78
Abstract : In the field of image compression, transmission and reproduction, the foremost objective is to reduce the amount of information which must be transmitted. Currently the methods used to limit the amount of data which must be transmitted are compression algorithms using either lossless or lossy compression. Both of these methods start with the entire initial image and compress it using different techniques. This paper will address the use of Markov Random Field Textures in image processing. If there is a texture region in the initial image, the concept is to identify that region and match it to a suitable texture which can then be represented by a Markov random field. Then the region boundaries and the identifying parameters for the Markov texture can be transmitted in place of the initial or compressed image for that region.
Descriptors : *IMAGE PROCESSING, *MARKOV PROCESSES, ALGORITHMS, THESES, MILITARY APPLICATIONS, COMPUTER VISION, DATA COMPRESSION, PIXELS, RANDOM WALK.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE