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Low Light Image Enhancement Based on Two-Step Noise Suppression

Abstract: 

In low light condition, the signal-to-noise ratio (SNR) is low and thus the captured images are seriously degraded by noise.Since low light images contain much noise in flat and dark regions, contrast enhancement without considering noise characteristics causes serious noise amplification. In this paper, we propose low light image enhancement based on two-step noise suppression. First, we perform noise aware contrast enhancement using noise level function (NLF). NLF is used to get a noise aware histogram which prevents noise amplification, and we use the noise aware histogram in contrast enhancement. However, the increase of intensity by contrast enhancement reduces the visibility threshold, which makes noise visible by human eyes. Second, we utilize a just noticeable difference (JND) model from luminance adaptation to suppress noise based on human visual perception. Experimental results show that the proposed method successfully enhances contrast in low light images while minimizing noise amplification.

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Paper Details

Authors:
Haonan Su, Cheolkon Jung
Submitted On:
1 March 2017 - 4:18am
Short Link:
Type:
Poster
Event:
Paper Code:
IVMSP-P13.5
Document Year:
2017
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Document Files

ICASSP2017_Low_final.pdf

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[1] Haonan Su, Cheolkon Jung, "Low Light Image Enhancement Based on Two-Step Noise Suppression", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1523. Accessed: Aug. 19, 2017.
@article{1523-17,
url = {http://sigport.org/1523},
author = {Haonan Su; Cheolkon Jung },
publisher = {IEEE SigPort},
title = {Low Light Image Enhancement Based on Two-Step Noise Suppression},
year = {2017} }
TY - EJOUR
T1 - Low Light Image Enhancement Based on Two-Step Noise Suppression
AU - Haonan Su; Cheolkon Jung
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1523
ER -
Haonan Su, Cheolkon Jung. (2017). Low Light Image Enhancement Based on Two-Step Noise Suppression. IEEE SigPort. http://sigport.org/1523
Haonan Su, Cheolkon Jung, 2017. Low Light Image Enhancement Based on Two-Step Noise Suppression. Available at: http://sigport.org/1523.
Haonan Su, Cheolkon Jung. (2017). "Low Light Image Enhancement Based on Two-Step Noise Suppression." Web.
1. Haonan Su, Cheolkon Jung. Low Light Image Enhancement Based on Two-Step Noise Suppression [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1523