End-to-End United Video Dehazing and Detection

Understand

The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling.

• However, extending the idea to end-to-end video dehazing has not been explored yet.
• In this paper, we propose an End-to-End Video Dehazing Network (EVD-Net), to exploit the temporal consistency between consecutive video frames.
• A thorough study has been conducted over a number of structure options, to identify the best temporal fusion strategy.