A novel approach for denoising and enhancement of extremely low-light video

Author

Minjae Kim ; Dubok Park ; Han, David ; Hanseok Ko

Author_Institution

Korea Univ., Seoul, South Korea

Volume

61

Issue

1

fYear

2015

fDate

Feb-15

Firstpage

72

Lastpage

80

Abstract

In this paper, a novel approach for noise reduction and enhancement of extremely low-light video is proposed. For noise removal, a motion adaptive temporal filtering based on a Kalman structured updating is presented. Dynamic range of denoised video is increased by adjustment of RGB histograms using Gamma correction with adaptive clipping thresholds. Finally, residual noise is removed using a nonlocal means (NLM) denoising filter. The proposed method works directly on the color filter array (CFA) raw video for achieving low memory consumption¹.

Keywords

Kalman filters; image denoising; image enhancement; video signal processing; Gamma correction; Kalman structured updating; RGB histograms; adaptive clipping thresholds; color filter array raw video; extremely low-light video; motion adaptive temporal filtering; noise reduction; noise removal; nonlocal means denoising filter; video denoising; video enhancement; Dynamic range; Histograms; Kalman filters; Lighting; Noise; Noise reduction; Three-dimensional displays; Noise reduction; and low-light video; nonlocal means; tone mapping;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/TCE.2015.7064113

Filename

7064113