A novel multi-frame denoising method for low light images
Peng Li, Fuzheng Yang, Jing He · 2014
This paper presents a novel multi-frame denoising method for low light images to get a clear shot even under dark conditions. To this end, multiple short-exposure images are aligned and filtered with a temporal-spatial filter to suppress the noise. Simulation results on real low-light scenes show that the proposed method outperforms the state-of-the-art image denoising method both on processing speed and visual quality.