DocumentCode :
3554305
Title :
A state-space identification for linear image processing
Author :
Zilouchian, Ali
Author_Institution :
Dept. of Electr. Eng., Florida Atlantic Univ., Boca Raton, FL, USA
fYear :
1991
fDate :
7-10 Apr 1991
Firstpage :
923
Abstract :
A method for the identification of unknown parameters for a general two-dimensional model of images is presented. One of the advantages of the technique is that the enhanced images can be directly obtained from noisy models. Simulation results have shown the feasibility of the proposed method for adaptation, as well as enhancement, of digital images
Keywords :
parameter estimation; picture processing; state-space methods; image adaptation; image enhancement; linear image processing; parameter estimation; state-space identification; two-dimensional model; Bandwidth; Digital images; Gaussian noise; Image communication; Image processing; Image recognition; Mathematical model; Pixel; Strips; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
Type :
conf
DOI :
10.1109/SECON.1991.147895
Filename :
147895
Link To Document :
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