Atmospheric turbulence has random effects on the resolution of optical target images.The lucky-region fusion （LRF）is an image synthesis technology aimed at atmospheric turbulence that affects images,it synthesizes a clear image by selecting high-resolution parts from a series of short-exposure images.The LRF algorithm is relatively simple to implement on desktop computer,but it is only a method of post-processing,without real-time performance.This paper introduces an LRF algorithm and its system implementation technology for real-time extraction,partition processing and synthesis of gray-scale image streams.According to the characteristics of field programmable gate array (FPGA) digital signal processing,a real-time LRF algorithm suitable for FPGA processing is proposed.The algorithm is logically designed with a hardware description language,and it is embedded in a small and medium-sized FPGA,so as to form a compact LRF processing system of pure hardware.The system was tested through simulated sequence images and short-exposure sequence images taken in the laboratory.The results show that the proposed real-time LRF algorithm is feasible,and the implemented FPGA system can realize the real-time dynamic fusion of lucky regions of the input gray-scale image sequence,and finally obtain a high-resolutionfusion image.