Title :
Refinement of EM restored images using adaptive POCS
Author :
Kuo, Shyh-Shiaw ; Mammone, Richard J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
Abstract :
A new iterative algorithm for image restoration and point spread function (PSF) estimation is presented. The method initially restores the image with the expectation maximization (EM) algorithm. The resulting estimate is then significantly improved by using the adaptive row action projection (RAP) algorithm which is based on the theory of projection onto convex sets (POCS). The PSF is re-estimated using a least squares technique. Computer simulations show the method´s competitiveness in restoring degraded images and estimating the PSF from noisy blurred images with unknown PSF
Keywords :
estimation theory; iterative methods; least squares approximations; optical transfer function; optimisation; picture processing; set theory; EM restored images; PSF estimation; adaptive POCS; adaptive row action projection algorithm; expectation maximisation algorithm; iterative algorithm; least squares technique; noisy blurred images; point spread function; projection onto convex sets; restored image refinement; Computer simulation; Convolution; Degradation; Equations; Fitting; Image restoration; Iterative algorithms; Least squares methods; Maximum likelihood estimation; Noise measurement;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.151015
