Title :
Image motion estimation from blurred and noisy image sequences
Author :
Fan, C.M. ; Namazi, N.M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
Abstract :
A new iterative algorithm to estimate image motion from noisy-blurred image sequences is developed, presented and evaluated. This algorithm seeks the maximum-likelihood estimate of image motion coefficients in an arbitrary transformed domain directly from noisy-blurred data. The range of the convergence parameters which control the speed of convergence is also presented. Simulation experiments demonstrate the validity of the motion estimator. Additional experiments investigate the sensitivity of the algorithm to the extent of blur. We also show the potential application of the estimated motion to image sequence restoration
Keywords :
convergence of numerical methods; digital simulation; image restoration; image sequences; iterative methods; maximum likelihood estimation; motion estimation; noise; transforms; blurred noisy image sequences; convergence parameters; convergence speed; image motion coefficients; image motion estimation; image sequence restoration; iterative algorithm; maximum-likelihood estimate; noisy image sequences; noisy-blurred data; simulation experiments; transformed domain; Biomedical imaging; Degradation; Gaussian noise; Image restoration; Image sequences; Iterative algorithms; Maximum likelihood estimation; Motion estimation; Multimedia communication; Visual communication;
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.1998.723353
