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Proceedings Paper

Low illumination color image enhancement based on improved Retinex
Author(s): Shujing Liao; Yan Piao; Bing Li
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Paper Abstract

Low illumination color image usually has the characteristics of low brightness, low contrast, detail blur and high salt and pepper noise, which greatly affected the later image recognition and information extraction. Therefore, in view of the degradation of night images, the improved algorithm of traditional Retinex. The specific approach is: First, the original RGB low illumination map is converted to the YUV color space (Y represents brightness, UV represents color), and the Y component is estimated by using the sampling acceleration guidance filter to estimate the background light; Then, the reflection component is calculated by the classical Retinex formula and the brightness enhancement ratio between original and enhanced is calculated. Finally, the color space conversion from YUV to RGB and the feedback enhancement of the UV color component are carried out.

Paper Details

Date Published: 15 November 2017
PDF: 9 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060532 (15 November 2017); doi: 10.1117/12.2295105
Show Author Affiliations
Shujing Liao, Changchun Univ. of Science and Technology (China)
Yan Piao, Changchun Univ. of Science and Technology (China)
Bing Li, Jilin Institute of Science and Technology Information (China)

Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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