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

7 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

Fingerprint

Noise abatement
Color
Data storage equipment

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

A novel framework for extremely low-light video enhancement. / Kim, Minjae; Park, Dubok; Han, David K.; Ko, Hanseok.

Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. p. 91-92 6775922.

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

Kim, M, Park, D, Han, DK & Ko, H 2014, A novel framework for extremely low-light video enhancement. in Digest of Technical Papers - IEEE International Conference on Consumer Electronics., 6775922, Institute of Electrical and Electronics Engineers Inc., pp. 91-92, 2014 IEEE International Conference on Consumer Electronics, ICCE 2014, Las Vegas, NV, United States, 14/1/10. https://doi.org/10.1109/ICCE.2014.6775922
Kim M, Park D, Han DK, Ko H. A novel framework for extremely low-light video enhancement. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc. 2014. p. 91-92. 6775922 https://doi.org/10.1109/ICCE.2014.6775922
Kim, Minjae ; Park, Dubok ; Han, David K. ; Ko, Hanseok. / A novel framework for extremely low-light video enhancement. Digest of Technical Papers - IEEE International Conference on Consumer Electronics. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 91-92
@inproceedings{0c0a4d599fe14eef94ee4f15f6177fd0,
title = "A novel framework for extremely low-light video enhancement",
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.",
author = "Minjae Kim and Dubok Park and Han, {David K.} and Hanseok Ko",
year = "2014",
month = "1",
day = "1",
doi = "10.1109/ICCE.2014.6775922",
language = "English",
isbn = "9781479912919",
pages = "91--92",
booktitle = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - A novel framework for extremely low-light video enhancement

AU - Kim, Minjae

AU - Park, Dubok

AU - Han, David K.

AU - Ko, Hanseok

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84898681773&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898681773&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2014.6775922

DO - 10.1109/ICCE.2014.6775922

M3 - Conference contribution

AN - SCOPUS:84898681773

SN - 9781479912919

SP - 91

EP - 92

BT - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

PB - Institute of Electrical and Electronics Engineers Inc.

ER -