An Improved Algorithm for Infrared Image Enhancement
一种改进的红外图像增强算法

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.