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

Minjae Kim, Dubok Park, David Han, Hanseok Ko

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

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.

Original languageEnglish
Article number7064113
Pages (from-to)72-80
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Volume61
Issue number1
DOIs
Publication statusPublished - 2015 Feb 1

Keywords

  • low-light video
  • Noise reduction
  • nonlocal means
  • tone mapping

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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