DocumentCode
2045172
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
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2957
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.151023
Filename
151023
Link To Document