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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529579
