基于FPGA实时红外图像自适应线性增强算法的实现

Realization of Real-Time Infrared Image Accommodation Linear Enhancement Algorithm Based on FPGA

提出了灰度直方图统计方法,利用FPGA完成一帧图像直方图统计并且采用自适应线性增强算法完成对下一帧图像数据的转换.针对实时处理的要求,应用现场可编程门阵列(FPGA)构造高速图像处理器,完成红外跟踪图像预处理的实时计算.经现场调试,代码简单,占用FPGA系统资源少,可以完成实时数据转换,结果证明是可行的.

A gray-scale histogram statistic method was proposed, a frame image histogram statistics was completed using FPGA and the next frame of image data conversion was made by the adaptive linear enhanced algorithm. According to the needs for real time processing, field programmable gate arrays （FPGA） was applied to construct the high-speed image preprocessor and to finish the real-time calculation for infrared tracking image preprocessing. The simulation and experimental results demonstrate that this method is feasible, and it has the advantages such as： the simple code, less system resources occupied by FPGA, and the capability of real-time data conversion.