Unified Image Restoration

Unified Image Restoration is an advanced task in the field of computer vision, aiming to use a single model to handle various types of image degradation, such as noise, blur, and missing data. The goal of this task is to achieve efficient restoration and reconstruction of different degraded images through optimization algorithms and deep learning techniques, thereby enhancing image quality. Its application value is extensive, including medical image processing, satellite remote sensing, video surveillance, and other fields, where it can significantly improve the readability and analysis accuracy of images.