基于高通滤波和图像增强的红外小目标检测方法

摘要

The paper presents an accurate and fast method for infrared small target detection in a single frame, which is based on high-pass filter and the image enhancement technology. The method firstly removes the background and some interference by a high-pass filter, and then highlights the small target as well as filtering out noise and interference using image enhancement technology. The computer simulation results show that the proposed method can detect the small target effectively. Compared with the inter-frame difference method and background subtraction, its advantages are obvious.It not only reserves more pixels for small target, but also enhances gray values greatlywithout false alarm points and overcomes the clouds interference in background of sky.%　　提出了一种准确、快速的红外小目标单帧检测方法。该方法基于高通滤波和图像增强技术，先通过高通滤波去除背景及部分干扰，然后使用图像增强技术在突显小目标的同时实现对噪声和干扰的进一步抑制。计算机仿真结果表明，所提出的方法能很好的检测出小目标，与帧间差分法以及背景减法相比，优势明显，不仅为小目标保留了较多的像素点，并使小目标灰度有了很大增强，不存在虚警点，且能较好地克服天空背景的云层干扰问题。