Title :
A novel framework for extremely low-light video enhancement
Author :
Minjae Kim ; Dubok Park ; Han, David K. ; Hanseok Ko
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
In this paper, we propose a novel framework for enhancement of very low-light video. For noise reduction, motion adaptive temporal filtering based on the Kalman structured updating is presented. Dynamic range of denoised video is increased by adaptive adjustment of RGB histograms. Finally, remaining noise is removed using Non-local means (NLM) denoising. The proposed method exploits color filter array (CFA) raw data for achieving low memory consumption.
Keywords :
adaptive Kalman filters; image denoising; image enhancement; optical filters; CFA; Kalman structured updating; NLM denoising; RGB histograms; adaptive adjustment; color filter array; denoised video; low-light video enhancement; memory consumption; motion adaptive temporal filtering; noise reduction; nonlocal means denoising; very low-light video; Colored noise; Dynamic range; Filtering; Histograms; Image color analysis; Noise reduction;
Conference_Titel :
Consumer Electronics (ICCE), 2014 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-1290-2
DOI :
10.1109/ICCE.2014.6775922
