TY - GEN
T1 - A novel framework for extremely low-light video enhancement
AU - Kim, Minjae
AU - Park, Dubok
AU - Han, David K.
AU - Ko, Hanseok
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84898681773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898681773&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2014.6775922
DO - 10.1109/ICCE.2014.6775922
M3 - Conference contribution
AN - SCOPUS:84898681773
SN - 9781479912919
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 91
EP - 92
BT - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Consumer Electronics, ICCE 2014
Y2 - 10 January 2014 through 13 January 2014
ER -