Infrared holographic technology is particularly suitable for long distance,large field of view imaging,but its susceptibility to speckle noise and Gaussian noise significantly affects image quality,limiting its application and promotion.In this paper,the 3D block matching filter algorithm is optimized by introducing global Fourier thresholding and adaptive Wiener filtering methods to improve its adaptability and detail preservation in denoising infrared holographic images.The improved 3D block matching filter algorithm is obtained and compared with the results obtained using various traditional filtering methods.The results show that the improved algorithm can effectively reduce Gaussian noise and speckle noise in infrared holographic images while preserving more details,and is more suitable denoising method for infrared holographic images.