Research Two-dimensional Complex Image Interpolation
Zhou Zhi-min · 2008
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.