Nighttime Haze Removal Based on Illumination Estimation

FANG Shuai; ZHAO Yu-kun; LI Xin-ke; LIU Yong-jin; JIE Fei-ran

doi:10.3969/j.issn.0372-2112.2016.11.002

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Nighttime Haze Removal Based on Illumination Estimation

更新时间：2025-07-16

- Nighttime Haze Removal Based on Illumination Estimation
- Acta Electronica Sinica Vol. 44, Issue 11, Pages: 2569-2575(2016)
- 作者机构：
  
  1. 合肥工业大学计算机与信息学院,安徽,合肥,230009
  2. 光电控制技术重点实验室,河南,洛阳,471023
  3. 合肥工业大学计算机与信息学院,安徽,合肥,230009
  4. 光电控制技术重点实验室,河南,洛阳,471023
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61175033, No.60705015);Natural Science Foundation of Anhui Province (No.1508085SMF222);Joint Fund of Key Laboratory of Optoelectronic Control Technology and Aeronautical Science Foundation of China (No.201451P4)
- DOI：10.3969/j.issn.0372-2112.2016.11.002
  CLC： TP391.4
- Published Online：25 November 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
FANG Shuai, ZHAO Yu-kun, LI Xin-ke, et al. Nighttime Haze Removal Based on Illumination Estimation[J]. Acta Electronica Sinica, 2016, 44(11): 2569-2575.
DOI：

FANG Shuai, ZHAO Yu-kun, LI Xin-ke, et al. Nighttime Haze Removal Based on Illumination Estimation[J]. Acta Electronica Sinica, 2016, 44(11): 2569-2575. DOI： 10.3969/j.issn.0372-2112.2016.11.002.

摘要

相对白天雾天图像，夜晚雾天图像具有整体亮度低、光照不均匀、偏色等特点，因此去雾难度大。本文从夜间雾天成像规律出发，提出了基于光照估计的夜间图像去雾算法。针对光照不均匀问题，通过估计光照图来去除不均匀光照的影响；针对目前白天去雾算法假设不适用于夜晚图像问题，提出基于信息熵的传输图粗估计的方法；针对颜色失真问题，通过统计光源区域的颜色属性来进行颜色校正。实验结果表明，本文算法能够有效的去除不均匀光照影响，提高图像对比度，改善图像视觉效果。

Abstract

Nighttime haze removal is more difficult

since nighttime hazy images contain degradation more serious than daytime's due to illumination

resulting in lower brightness

lower contrast

uneven illumination

and chromatic aberration

etc.Depending on imaging law of nighttime hazy image

a novel dehazing algorithm based on illumination estimation is presented.Firstly

the uneven illumination is removed by estimate the illumination map.Secondly

an entropy-based scheme for nighttime images is proposed to obtain transmission map.Finally

the color of illumination is estimated by statistics of source regions.The experimental results show that the proposed algorithm can effectively remove the uneven illumination effect

increase the image contrast and improve the image visual effect.

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