一种红外图像二维细节增强技术研究与实现

摘要

A two-dimensional detail enhancement technology is designed based on FIR filter and image dynamic com-pression.First of all,two-dimensional real-time infrared image was decomposed from row vector and column vector. Secondly,image details of row vector and column vector are extracted by FIR filter,and then the extracted image de-tails and the original image are weighted and fused.Lastly,the fusion image is dynamically compressed by histogram algorithm,and detail enhancement of real-time infrared image which can satisfy actual application is achieved.The re-sults show that this method has a certain feasibility and has been applied to the practice.%针对红外图像的特点，提出并实现了一种基于FIR（Finite Impulse Response，有限冲激响应）滤波器结合图像动态压缩的二维数字图像细节增强技术。该方法首先对实时的二维红外图像进行行、列向量的一维分解，然后使用FIR滤波器分别对图像的行、列向量进行细节提取，之后对原始图像和提取的图像细节进行加权融合，最后通过直方图处理算法对融合图像进行动态压缩，最终完成了能够满足实际应用的实时红外图像的细节增强。本技术以FPGA为核心处理器，采用FPGA＋NIOS 软核＋DSP内核的处理架构实现算法，已成功应用于工程项目中。