Title :
A novel multi-frame denoising method for low light images
Author :
Peng Li ; Fuzheng Yang ; Jing He
Author_Institution :
State Key Lab. of ISN, Xidian Univ., Xian, China
Abstract :
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.
Keywords :
image denoising; spatial filters; dark conditions; low light image denoising method; multiframe denoising method; multiple short-exposure images; noise suppression; processing speed; real low-light scenes; temporal-spatial filter; visual quality; Filtering; Filtering algorithms; Image color analysis; Noise; Noise reduction; Simulation; Visualization; low light condition; motion estimation; multi-frame denoising; temporal-spatial filtering;
Conference_Titel :
Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
Conference_Location :
JeJu Island
DOI :
10.1109/ISCE.2014.6884310
