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A Novel Approach for Denoising and Enhancement of Extremely Low-light Video
- Authors
- Kim, Minjae; Park, Dubok; Han, David K.; Ko, Hanseok
- Issue Date
- Feb-2015
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Noise reduction; tone mapping; nonlocal means; low-light video
- Citation
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.61, no.1, pp.72 - 80
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Volume
- 61
- Number
- 1
- Start Page
- 72
- End Page
- 80
- ISSN
- 0098-3063
- 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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Related Researcher
- Ko, Han seok
- College of Engineering (School of Electrical Engineering)