一种改进的红外图像增强算法

根据红外图像的特性，对通常的红外图像增强算法进行了比较分析，提出了一种基于Butterworth高 通滤波器的高频强调滤波并结合直方图均衡化的红外图像增强算法。首先，利用Buterworth高通滤波器将图像分为高频分 量和低频分量，然后使用高频强调滤波对高频部分进行强调处理，最后，对图像直方图进行均衡化处理，得到增强后的图像。 实验结果表明，图像经过处理后突出了细节信息，改善了整体视觉效果，得到的结果令人满意。

An Improved Algorithm for Infrared Image Enhancement

The common image enhancement algorithms are analyzed comparatively according to the characteristics of infrared images. An infrared image enhancement algorithm based on the high frequency emphasis filtering of a Butterworth high pass filter and the histogram equalization is proposed. First, an infrared image is divided into a high frequency part and a low frequency part by using the Butterworth high pass filter. Then, the high frequency part is processed emphatically by using a high frequency emphasis filter. Finally, the histogram of the image is processed in equalization so as to obtain an enhanced image. The experimental results show that in the processed image, the detailed information is apparent and the visual effect is improved. The processing result is satisfied.