2D complex image interpolation is decomposed into two real image interpolation procedures based on real part and imaginary part of image. In fact

real image interpolation is a 2D filtering procedure. In this paper we propose a local adaptive interpolated algorithm for 2D real image. Presupposing there is no model

this algorithm utilizes fully local images to estimate autocorrelation function. To minimize the mean square error that interpolated local image

genetic algorithm is introduced in the procedure of optimizing multi variable function. This interpolation algorithm is worth to be applied in ultra wideband synthetic aperture radar (UWB SAR) image interpolation procedures. Two experiments with real data

complex image interpolation and complex image coregistration

have verified feasibility of this interpolation algorithm.