基于小波变换与图像增强技术的红外小目标检测

Detection of infrared small target based on the wavelet transformation and image enhancement technology

提出了一种基于小波变换的单帧红外图像检测方法,将小目标检测问题简化为带通滤波的过程。该方法首先使用小波变换分解图像,直接舍去低频分量的背景,接着对提取出的三个高频成分分别进行小波分析,去除高频噪声,然后再对各高频分量进行重构,最后采用图像增强技术提高小目标灰度,进一步抑制干扰。计算机仿真结果表明,该方法能准确、高效地检测出小目标,并能克服一定的云层和建筑物干扰问题。

A method based on wavelet transformation for single frame infrared image detection was proposed, which simplified the small target detection problem as a band-pass filtering process. The method firstly decomposes image using a wavelet transformation, and discards the background component located the low-frequency of the image. Next,it removes the high frequency noise by the wavelet analysis, and then reconstructs the new image by the denoised three high-frequency components. Finally, the image enhancement technology is used to improve small target grayscale for the further suppressing the interference. The computer simulation results show that the method presented can detect out the small target precisely and efficiently, and it can overcome some interference problems that come from clouds and buildings.