... autocorrelation is not a function ofposition or time. For stationary image processes, (1.4-10a) (1.4-10b)The autocorrelation expression may then be written as (1.4-11)Rx1y1t1x2y2t2,,;,,()Fx1x1y1,,()F∗x2y2t2,,()∞–∞∫∞–∞∫=pF1F2x1y1t1x2y2t2,,,,,;,{}F1dF2d×Kx1y1t1x2y2t2,,;,,()EFx1y1t1,,()ηFx1y1t1,,()–[]F∗x2y2t2,,()η∗Fx2y2t2,,()–[]{}=Kx1y1t1x2y2t2,,;,,()Rx1y1t1x2y2t2,,;,,()ηFx1y1t1,,()η∗Fx2y2t2,,()–=σF2xyt,,()Kxytxyt,,;,,()=EFxyt,,(){}ηF=Rx1y1t1x2y2t2,,;,,()Rx1x2– ... sense if its moments are unaf-fected by shifts in the space and time origins. The image process is said to be sta-tionary in the wide sense if its mean is constant and its autocorrelation is dependenton ... 1 and 2.Separability. If the image function is spatially separable such that(1.3-9)then(1.3 -10) where and are one-dimensional Fourier transforms of and, respectively. Also, if and are two-dimensional...