Research of parallel acceleration method and implementation of normalized product correlation with FPGA

Normalized product correlation method is widely used in image processing filed, such as terrain matching and target recognition, and has limited application for complex computational process and insufficient real-time performance.In this paper, a 16-channel normalized product correlation parallel computing method and hardware architecture are proposed based on the advantages of FPGA in parallel computing. It is implemented on the FPGA and has the characteristics of high precision and fast speed.Compared with the PC MATLAB software and DSP chip TS201, the computing speed is increased by thousands or even tens of thousands of times, and the computing accuracy can reach 10^-6, which can meet the real-time and precision and precision requirements of image processing such as terrain matching and target recognition.