红外探伤图像存在着对比度低、含噪声高的特点, 导致判读和识别缺陷困难等问题。提出了基于高频强调滤波法的红外探伤图像增强方法。该方法在突出高频分量的同时, 能保持经过高通滤波后丢失的低频分量, 达到图像增强的目的。试验结果表明, 采用高频强调滤波法对红外探伤图像进行处理, 提高了图像的对比度和峰值信噪比, 有效抑制了噪声的干扰。

Infrared test image has low contrast and high noise, which results in difficulties in reading and recognizing defects difficultly. In order to solve the problems, image enhancement method based on high-frequency emphasized filtering for infrared test is presented. After high-pass filtering filtered, the method emphasizes on high-frequency components and also keeps lost low-frequency components, and finally realizes image enhancement. The result shows that the method improves image contrast and Peak Signal to Noise Ratio(PSNR) and restrains noise efficiently compared with other high-pass filtering.