基于FPGA的实时幸运区域融合算法  

Realtime luckyregion fusion algorithm based on FPGA

作　　者：陈柄宇 李彬华[1,2] CHEN Bingyu;LI Binhua(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,Yunnan 650500,China;Yunnan Provincial Key Laboratory of Computer Technology Application,Kunming University of Science and Technology,Kunming,Yunnan 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650500 [2]昆明理工大学云南省计算机技术应用重点实验室,云南昆明650500

出　　处：《光电子．激光》2022年第5期495-504,共10页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(11673009)资助项目。

摘　　要：大气湍流对光学目标图像的分辨率会产生随机性的影响。幸运区域融合(lucky-region fusion,LRF)是一种针对受大气湍流影响图像序列的图像合成技术,通过在一系列短曝光图像中选取具有高分辨率的区域进行融合,从而获得一张清晰的图像。LRF算法在台式计算机上实现比较简单,但这是事后处理的方法,没有实时性。描述一种针对灰度图像流实时地进行提取、分区处理和合成的LRF算法及其系统实现技术。根据现场可编程门阵列(field programmable gate array,FPGA)数字信号处理的特点,提出了一种适合于FPGA处理的实时LRF算法。用硬件描述语言对该算法进行逻辑设计,将其嵌入到一个中小规模的FPGA上,从而构成一个纯硬件的紧凑的LRF处理系统。通过模拟的序列图像和在实验室实际拍摄了短曝光序列图像,对该系统进行了测试。实验结果表明,所提出的实时LRF算法可行,所实现的FPGA系统可以实现输入灰度图像序列的实时动态幸运区域融合,并最终获得高分辨率的融合图像。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.

关 键 词：大气湍流 图像处理 幸运成像 现场可编程门阵列(field programmable gate array FPGA) 

分 类 号：TN911.73[电子电信—通信与信息系统]