This research has the potential to impact various domains beyond image restoration that involve data analysis under adverse conditions. For example:
Medical Imaging: The methodology developed for handling different types of degradations in images could be applied to medical imaging tasks where images are affected by noise or artifacts.
Satellite Imagery: Weather-related distortions in satellite imagery could benefit from techniques that address specific types of degradations caused by atmospheric conditions.
Video Processing: The concept of considering degradation severity along with type could improve video enhancement algorithms dealing with varying levels of noise or distortion.
Autonomous Vehicles: Enhancing visual data captured by cameras on autonomous vehicles under adverse weather conditions using similar approaches could improve safety measures.
By extending this research beyond image restoration, it opens up possibilities for enhancing data processing across various fields where environmental factors affect data quality.