Title :
The identification of autocorrelation model of discrete random image
Author_Institution :
Inst. of Pattern Recognition & Artificial Intelligence, Wuhan, China
Abstract :
The Z-transform of the autocorrelation model of discrete random images is derived. By using the power series expansion and truncation of the Z-transform, the least-squares identification method for the coefficients of Z-transform is developed. The computational formulas for the parameters of the autocorrelation model of images are given. The validity of the method is confirmed by experiment
Keywords :
Z transforms; correlation methods; pattern recognition; picture processing; Z-transform; autocorrelation model; discrete random image; least-squares identification; pattern recognition; picture processing; power series expansion; Autocorrelation; Discrete transforms; Gaussian processes; Image coding; Image sampling; Least squares methods; Mathematical model; Pattern recognition; Performance analysis; Predictive models;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28430
