The motion of the infrared detection system always has a significant effect on the imaging process, resulting in the motion blur of the target image, which brings evident uncertainties and difficulties to the infrared small target detection. In order to efficiently detect the infrared small targets whose images have been blurred by the motion of them, the technique of motion blur restoration and image enhancement are introduced into the infrared detection system. The method firstly applies Wiener filter in the processing of original images so as to restrain the noise and reduce the motion blur, then makes the use of gradient method to sharpen and enhance the target edges of processed images. The experiment results and simulation analyses show that such method can obviously reduce motion blur, enhance the contrast of targets, and restrain noise to a certain extent, which improving images′ quality and making infrared targets prominent in the background. Finally, the evaluation parameters peak signal to noise ratio and mean square error perform well. The proposed method can enhance the effect of detective system.