The SUPIR model can be extended to handle other types of image degradation by incorporating additional modules or components tailored to specific degradation types. For instance, for tasks like image denoising, the model can integrate noise reduction algorithms or filters to effectively remove noise from images. For tasks like image super-resolution, the model can incorporate upscaling techniques to enhance image resolution. By adapting the architecture and training data to focus on different types of degradation, SUPIR can be customized to address a wide range of image restoration challenges.