Robust Object Detection in Adverse Weather Using Noise Analysis

This research explores a crucial challenge in computer vision: salient object detection under difficult environmental conditions. The use of noise indicators represents a potentially innovative approach to improving the robustness of detection algorithms.

• •Addresses a real-world problem of computer vision in challenging scenarios.
• •Proposes a novel method for improving object detection performance.
• •Focuses on a specific application domain (adverse weather).