DocumentCode
300577
Title
Estimation of image motion parameters using the EM algorithm
Author
Fan, Chieh Min ; Namazi, Nuder M.
Author_Institution
Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA
Volume
1
fYear
1995
fDate
23-26 Oct 1995
Firstpage
195
Abstract
Image motion estimation has long been under investigation in many fields. Application exist in the areas of data compression, filtering, spatiotemporal interpolation and sampling. We develop and present a new iterative scheme, based on the expectation maximization technique, to find the maximum-likelihood estimate of image motion parameters in noisy images. The focus is on image motion coefficient estimation from noisy measurements
Keywords
iterative methods; maximum likelihood estimation; motion estimation; noise; EM algorithm; data compression; expectation maximization technique; filtering; image motion coefficient estimation; image motion estimation; image motion parameters; iterative scheme; maximum-likelihood estimate; noisy images; noisy measurements; sampling; spatiotemporal interpolation; Biomedical imaging; Data compression; Electric variables measurement; Filtering; Gaussian noise; Iterative algorithms; Motion estimation; Motion measurement; Pixel; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1995. Proceedings., International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-7310-9
Type
conf
DOI
10.1109/ICIP.1995.529579
Filename
529579
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