Experimental Design of Face Image Restoration Teaching

Taking face image restoration in digital image processing course as an example, a comprehensive experiment is designed. Through practical operation, the students' enthusiasm for research in the field of image restoration is cultivated. In the experimental part, the damaged image was repaired by using the image repair technique based on structure and texture. First, the basic principle and experimental procedure of this technique are introduced. The technique is then applied and improved to repair multiple damaged types of images. At the same time, the corresponding Python code is provided, so that students can carry out restoration operations for a variety of occluded images, so as to obtain reconstructed images. Students can explore different repair effects by adjusting the size and position of the occlusive area, and further deepen their understanding of repair techniques by analyzing these results.