基于积分图像的红外图像降噪去条带方法

针对红外图像中普遍存在的高噪声与边缘模糊问题,提出了一种新的红外图像处理方法。基于积分图像理论,结合高频增强滤波法,给出了红外图像降噪去条带算法,设计了软件并实现了处理效果。仿真结果表明,与传统的方法相比,该方法具有速度快、自适应能力强和条带去除明显等优势,并可以尽可能多地保留原始图像的细节特征。

Method of Noise Reducing and Strip Removing for Infrared Image Based on Integral Image

To solve the problem of high noise and edge blur commonly present in infrared images, a new infrared image processing method is proposed. According to the theory of an integral image, the noise reducing and strip removing algorithm combined with a high frequency enhance filter is given. The special software is designed and good processing effectiveness is obtained. The simulation result shows that compared with the traditional method, this method has the advantages of high speed, good adaptability and obvious strip removal ability and can retain the details in the original image as many as possible.