Research on Motion Image Processing System Based on FPGA and Convolutional Neural Network

Aiming at the problem of large amount of moving image data and difficulty in transmission, a moving image processing system based on FPGA and neural network is proposed. The hardware composition of the system is studied and the key modules such as FPGA module and storage module in the system are analyzed and designed, and an FPGA-based neural network realization method is proposed. Experimental results show that this method can achieve reliable compression of moving images. The compression effect is related to the number of neurons in the hidden layer. The more the number of neurons, the higher the signal-to-noise ratio of the compressed image.