DocumentCode
2090211
Title
Joint parameter estimation and restoration using MRF models and homotopy continuation method
Author
Nanda, P.K. ; Desai, U.B. ; Poonacha, P.G.
Author_Institution
Dept. of Electr. Eng., Inst. of Technol., Bombay, India
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
705
Abstract
This paper presents a joint strategy for parameter estimation of Markov random field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense that no a priori knowledge of the actual image is assumed. The technique of homotopy continuation method is employed to estimate the model parameters. The model considered involves line fields and is tested on real images. Simulation results are presented for gray level images
Keywords
Markov processes; image restoration; parameter estimation; simulated annealing; MRF models; Markov random field model; gray level images; homotopy continuation method; image restoration; line fields; model parameters; parameter estimation; real images; simulated annealing algorithm; simulation results; unsupervised scheme; Availability; Educational institutions; Image edge detection; Image restoration; Image segmentation; Knowledge engineering; Markov random fields; Parameter estimation; Simulated annealing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413662
Filename
413662
Link To Document