A novel framework for extremely low-light video enhancement

Minjae Kim, Dubok Park, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose a novel framework for enhancement of very low-light video. For noise reduction, motion adaptive temporal filtering based on the Kalman structured updating is presented. Dynamic range of denoised video is increased by adaptive adjustment of RGB histograms. Finally, remaining noise is removed using Non-local means (NLM) denoising. The proposed method exploits color filter array (CFA) raw data for achieving low memory consumption.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages91-92
Number of pages2
ISBN (Print)9781479912919
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
Duration: 2014 Jan 102014 Jan 13

Other

Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
CountryUnited States
CityLas Vegas, NV
Period14/1/1014/1/13

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Kim, M., Park, D., Han, D. K., & Ko, H. (2014). A novel framework for extremely low-light video enhancement. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 91-92). [6775922] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2014.6775922