Title :
Modeling Gauss Markov random fields at multiple resolutions
Author :
Krishnamachari, Santhana ; Chellappa, Rama
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
Abstract :
A multiresolution model for Gauss Markov random fields (GMRF) is presented. Based on information theoretic measures, techniques are presented to estimate the GMRF parameters of a process at coarser resolutions from the parameters at fine resolution
Keywords :
Markov processes; image processing; random processes; coarser resolutions; computer vision; fine resolution; image processing; information theoretic measures; modeling Gauss Markov random fields; multiple resolutions; statistical techniques; Computer vision; Educational institutions; Gaussian processes; Image processing; Image resolution; Lattices; Markov random fields; Parameter estimation; Random variables; Spatial resolution;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513917
