In order to improve the resolution of the restored image in the original context of projections onto convex sets (POCS),and suppress the features of edge oscillating and enlargement of noise,a motion blurred restoration approach based on hybrid Wiener/POCS algorithm is proposed. Estimated original image f0 and super-resolution restored image fi of the original POCS are respectively bounded by a Wiener set,which is noise normalized and complete convergence,and three other bounded local variance sets are also incorporated into POCS. Some experiments based on restoration of image are given to demonstrate the effectiveness of the hybrid Wiener/POCS algorithm. As a result,the bounded Wiener variance set using in complete convergence is better than any other,and in the evaluation of quality of super-resolution restoration image,the normalized co-correlation function (NCCF) improves 7.28%,the peak signal-to-noise ratio (PSNR) improves 32.35% as the largest,which effectively suppress the ringing ripples and improve the resolution.