陈柄宇,李彬华.基于FPGA的实时幸运区域融合算法[J].光电子激光,2022,33(5):495~504 |
基于FPGA的实时幸运区域融合算法 |
Realtime luckyregion fusion algorithm based on FPGA |
投稿时间:2021-09-02 |
DOI: |
中文关键词: 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) |
英文关键词:atmospheric turbulence image processing lucky imaging field programmable gate array (FPGA) |
基金项目:国家自然科学基金(11673009)资助项目 (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) |
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中文摘要: |
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。 |
英文摘要: |
Atmospheric turbulence has random effects on the resolution of optic al 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-r esolution parts from a series of short-exposure images.The LRF algorithm is relatively simple to i mplement 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 r eal-time extraction,partition processing and synthesis of gray-scale image streams.Acco rding to the characteristics of field programmable gate array (FPGA) digital signal processin g,a real-time LRF algorithm suitable for FPGA processing is proposed.The algorithm is logically d esigned with a hardware description language,and it is embedded in a small and medium-sized F PGA,so as to form a compact LRF processing system of pure hardware.The system was tested thro ugh simulated sequence images and short-exposure sequence images taken in the labor atory.The results show that the proposed real-time LRF algorithm is feasible,and the imp lemented FPGA system can realize the real-time dynamic fusion of lucky regions of the input g ray-scale image sequence,and finally obtain a high-resolutionfusion image. |
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