A Model-based Low-frequency Image Quality Enhancement Method

In response to the problems of limited image quality and low resolution caused by the inability of low-frequency millimeter wave data to meet imaging requirements, this article innovatively proposes a low-frequency millimeter wave image quality enhancement method based on diffusion model. This method is based on the image domain diffusion model to enhance the image quality. It is combined with the holographic data domain convolutional neural network to learn the mapping relationship between low-frequency and high-frequency images and echo data between different domains. It improves the quality and resolution of low-frequency millimeter wave images and is verified through experiments, solving the problem of poor low-frequency image quality and low resolution.