Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Novel Approach for Denoising and Enhancement of Extremely Low-light Video

Authors
Kim, MinjaePark, DubokHan, David K.Ko, Hanseok
Issue Date
2월-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
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/94455
DOI
10.1109/TCE.2015.7064113
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).
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Ko, Han seok photo

Ko, Han seok
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE