High-speed image acquisition system and FPGA implementation

Abstract

To solve the problem of low speed and poor quality of image acquisition, a system of high-speed image acquisition based on NiosⅡ was introduced. First of all, Field-Programmable Gate Array (FPGA) was used for controlling image sensor, and the image was captured through ping-pang operation. Then, the principle of area exchange rate was used for image processing. After that, the data was kept and transmitted to the upper device by image compression algorithm of BP neural network. Through the simulation experiments from the acquired data, the simulation results demonstrate that this system provides image acquisition of higher speed and quality than traditional system.