Deep white balance and dark channel prior fusion: Toward efficient and natural low-light image restoration
Experimental results show that the proposed method provides a convincing quality-efficiency compromise for low-light image enhancement, and it does not require any further training or fine-tuning since the proposed approach is based on a pretrained Deep White Balance model and only uses inference.