Title :
Evaluating the EM algorithm for image processing using a human visual fidelity criterion
Author :
Brailean, James C. ; Sullivan, Barry J. ; Chen, Chin-Tu ; Giger, Maryellen L.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
A new image quality metric consistent with the properties of the human visual system is derived. Using the EM algorithm, the authors restore a blurred image and quantify the improvement in image quality with both the new metric and the mean square error (MSE). From these results, the advantages of the new metric are obvious. The EM algorithm is modified according to the underlying mathematical structure of the new metric, which results in improved performance
Keywords :
optimisation; picture processing; visual perception; EM algorithm; blurred image; expectation maximisation algorithm; human visual fidelity criterion; image processing; image restoration; Humans; Image processing; Image quality; Image restoration; Iterative algorithms; Laboratories; Mathematical model; Mean square error methods; System testing; Visual system;
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.1991.151023
