Uncertainty Visualization

Visualizing uncertainty in computer vision involves graphically representing the uncertainty in the predictions of restoration models. The aim is to help researchers and users understand the reliability of the model's output, thereby enabling better risk and uncertainty assessment in decision-making processes. This technique holds significant value in applications such as medical image analysis, autonomous driving systems, and image restoration, enhancing the transparency and credibility of these systems.