讨论了非线性滤波器在红外图像增强中的应用。首先提出了改进的基于局部统计特性的红外图像对比度增强算法，然后给出了基于（α，β） 裁剪均值滤波器的红外图像噪声滤除算法，最后通过计算机仿真实验表明，改进的对比度增强算法其性能优于灰度线性变换； （α，β）裁剪均值滤波器不仅具备了普通均值滤波器和中值滤波器的优点，而且还克服了两者的不足，有效地滤除了高斯分布、脉冲及均匀分布噪声。 The application of nonlinear filter in infrared image enhancement is discussed. Firstly, an improved infrared image contrast enhancement algorithm based on local statistical properties is proposed. Then an infrared image noise filtering algorithm based on (α, β) -educe mean filter is presented. Finally, the computer simulation results show that the improved contrast enhancement The performance of the proposed algorithm is better than that of gray-scale linear transform. (Α, β) machined mean filter not only has the advantages of ordinary mean filter and median filter, but also overcomes the shortcomings of both, effectively filtering out the Gaussian distribution , Pulse and evenly distributed noise.