MUL-UNet: A lightweight multi-weather image restoration network with enhanced edge preservation

Key Points

• Improved edge preservation enhances visual quality of images, especially under adverse weather conditions.
• The proposed model significantly reduces artifacts while restoring images, leading to clearer outputs.
• Observational assessment using deep learning techniques reveals efficacy across different weather scenarios.
• Further validation across diverse environments is needed to confirm generalizability and performance.