A parallel processing system was developed to realize the real-time restoration and super-resolution processing of a huge amounts of large size images after investigating its technical scheme,working principle,key algorithms,hardware architectures and parallel technology. The working principle of the system and key algorithms of deblur,denoise,super-resolution were presented based on the technical scheme,and two kinds of the architectures,Digital Signal Processing(DSP) and Cluster systems,were analyzed and compared. It is concluded that the Cluster system is more large scale parallel processing. A parallel algorithm model based on the PPF architecture and a multi-layer parallel optimization technology based on the hybrid architecture of MPI+OpenMP were introduced.The processing effect of the proposed algorithm and the processing speed on the DSP and computer were analyzed.Following by prediction of the scale and performance of system,How to choice the number of processors was also discussed. Experimental results show that the parallel system can reduce run time from 2 700 s to 29.39 s,and can provide improved images with better sharpness,contrast and resolution.