INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Low light video denoising and enhancement using kalman filter and tone mapping technique
Authors Name:
K.Narasimha prasad
, P. Madavi
Unique Id:
IJSDR1610006
Published In:
Volume 1 Issue 10, October-2016
Abstract:
In this paper, a new perception for noise reduction and enhancement of extremely low-light video. The proposed manner works directly on the color filter array (CFA) raw video for attain low memory consumption. A motion adaptive temporal filtering based on a Kalman structured updating is proposed for noise elimination. Dynamic range of denoised video is elevated by balancing of RGB histograms employing Gamma correction with adaptive clipping thresholds. certainly, residual noise is eliminated by employing a nonlocal means (NLM) denoising filter
Keywords:
Index Terms — Noise reduction, tone mapping, nonlocal means, and low-light video
Cite Article:
"Low light video denoising and enhancement using kalman filter and tone mapping technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 10, page no.26 - 33, October-2016, Available :http://www.ijsdr.org/papers/IJSDR1610006.pdf
Downloads:
000337351
Publication Details:
Published Paper ID: IJSDR1610006
Registration ID:160863
Published In: Volume 1 Issue 10, October-2016
DOI (Digital Object Identifier):
Page No: 26 - 33
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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