Title :
MAP estimation of a class of morphologically constrained Gibbs random fields
Author :
Sivakumar, K. ; Goutsias, John
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
We revisit the problem of non-linear image filtering by means of maximum-a-posteriori (MAP) estimation and mathematical morphology. Based on “mild” modeling assumptions, we bound the optimal MAP estimate from above and below and provide explicit morphological expressions for such bounds. The derived bounds can be easily calculated and effectively used to design a fast MAP algorithm
Keywords :
image processing; mathematical morphology; maximum likelihood estimation; nonlinear filters; stochastic processes; MAP estimation; bounds; mathematical morphology; maximum-a-posteriori estimation; mild modeling assumptions; morphologically constrained Gibbs random fields; nonlinear image filtering; Algorithm design and analysis; Degradation; Filtering; Morphology; Robustness; State-space methods; Temperature;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723320
