Journal article
A Novel Approach for Denoising and Enhancement of Extremely Low-light Video
IEEE transactions on consumer electronics, v 61(1), pp 72-80
01 Feb 2015
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 consumption(1).
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Details
- Title
- A Novel Approach for Denoising and Enhancement of Extremely Low-light Video
- Creators
- Minjae Kim - Korea UniversityDubok Park - Korea UniversityDavid K. Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- IEEE transactions on consumer electronics, v 61(1), pp 72-80
- Publisher
- IEEE
- Number of pages
- 9
- Grant note
- WR080951 / Seoul RBD Program; Seoul RBD program STW-KU Research Program
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000351758600010
- Scopus ID
- 2-s2.0-84961289961
- Other Identifier
- 991021930833104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic
- Telecommunications