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Minfeng Wu

2 accepted papers

2024

CDCNet: A Fast and Lightweight Dehazing Network with Color Distortion Correction

ICASSP 2024accepted

Mobile edge devices require real-time dehazing methods that sustain dehazing performance while drastically reducing resource occupation. However, color distortion is a substantial challenge for lightweight dehazing networks, which profoundly impairs image quality. In this paper, we propose CDCNet, a…

Cited by 0SourceScholar
2024

Multi-Weather Degradation-Aware Transformer for Image Restoration

ICASSP 2024accepted

Restoring images under different adverse weather conditions with a single model is practical in many applications. Most existing weather restoration approaches are only able to handle a specific type of degradation, which is often insufficient in real-world scenarios where the weather type is unknow…

Cited by 0SourceScholar