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

Minjae Kim; Dubok Park; David Han; Hanseok Ko

doi:10.1109/TCE.2015.7064113

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

Minjae Kim, Dubok Park, David Han, Hanseok Ko

Research output: Contribution to journal › Article › peer-review

45 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 language	English
Article number	7064113
Pages (from-to)	72-80
Number of pages	9
Journal	IEEE Transactions on Consumer Electronics
Volume	61
Issue number	1
DOIs	https://doi.org/10.1109/TCE.2015.7064113
Publication status	Published - 2015 Feb 1

Bibliographical note

Publisher Copyright:
© 1975-2011 IEEE.

Keywords

Noise reduction
low-light video
nonlocal means
tone mapping

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering

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10.1109/TCE.2015.7064113

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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