The restoration of blurred image caused by rotation motion is studied. An algebraic restoration approach of deconvolving along blur path based on the least squares and space correlation constrain is proposed. Employing the optimal estimation can restore the pixels information in the corner effectively and rapidly. The algorithm is verified through the microcomputer and experimental results show that the proposed algorithm can remove space variant blur of rotation motion effectively.