A parallel processing system was developed to realize real-time restoration and super-resolution processing of huge amount of large size images after investigating its technical scheme

working principle

key algorithms

hardware architecture

parallel technology and et al. First

the system’s working principle and key algorithms of deblur

denoise

super-resolution were presented based on the technical scheme. After analyzing and comparing the two architectures of DSP and Cluster

employ principle of the Cluster’s equipments was given. It is concluded that Cluster is more suited for large scale parallel processing. Then a parallel algorithm model based on the PPF architecture and multi-layer parallel optimization technology based on the hybrid architecture of MPI+OpenMP were introduced. Finally

experiments and analyses were made on processing effect and speed of DSP and computer

following by scale and performance prediction of system. How to choice the number of processes was also discussed. Experimental results show that the parallel system can reduce run time from 2700s to 29.39s

making images improved apparently in sharpness

contrast and resolution. It can satisfy our application and have a universal property。