A Novel Approach for Denoising and Enhancement of Extremely Low-light Video

作者:Kim Minjae*; Park Dubok; Han David K; Ko Hanseok
来源:IEEE Transactions on Consumer Electronics, 2015, 61(1): 72-80.
DOI:10.1109/tce.2015.7064113

摘要

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 consumption(1).

  • 出版日期2015-2