Abstract: In order to solve the problem that traditional guided image filtering algorithm using a fixed regularization parameter regularization factor caused halo artifacts, a weighted guided image filtering algorithm using phase congruency was proposed. As the textural properties vary in different regions of the image, the phase coherence can obtain richly image features and precisely targeting information. Adaptive adjustment penalty factor in different areas using monogenic phase congruency was to ensure the image noise effect and further maintain sharp edges. Structural similarity (SSIM) and PSNR were used to evaluate the quality of images in experiments. The experimental results showed that the monogenic phase coherence, as adaptive penalty factor, can effectively avoid the halo artifact phenomenon of the traditional guided image filtering. Denoising performance is not only improved, but also good edge details are retained.