Aiming at the ill posed problem of motion blurred image restoration in traditional exposure mode, a method of motion blurred image restoration based on complementary sequence pairs of fluttering shutter is proposed. The imaging principle of fluttering shutter and the correlation characteristics of code sequence in frequency domain are analyzed. Combined with the information complementarity characteristics between coding sequence pairs, the Golay complementary sequence generation theory is introduced to construct binary fluttering shutter complementary sequence pairs with moderate length. The joint modulation transfer function of complementary sequence pair realizes information complementarity in frequency domain, its curve has a larger minimum value and a lower variance value than the modulation function of the single code word, and it forms peak valley correspondence, which ensures that complementary image sequence can compensate each other for spatial information loss caused by motion blur. The total variation regularization model is introduced to construct an integrated multi frame image deblurring restoration algorithm framework to achieve effective acquisition of clear images. A real-time simulation imaging platform for moving objects is built, and experiments of simulation and real-time motion blur restoration are carried out. The experimental results show that the proposed method can better retain the details of the scene, obtain high-quality motion blur restoration results, and effectively improve the negative effects in the restoration process. Compared with other acquisition methods of moving target imaging, the proposed method has better subjective and objective evaluation results.