This paper deals with the problem of adaptive displacement estimation in Digital Subtraction Imaging. Its mathematical model is given

in which it is considered as a problem of functional optimization. Based on the idea of finite element method

a family of models for correction of gray level variation is presented. New criterion functions and adaptive hierachical searching algorithms are developed. The experiment results in medical imaging （DSA） are reported.