图像去雾算法的改进和主客观性能评价

李佳童; 章毓晋

doi:10.3788/OPE.20172503.0735

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图像去雾算法的改进和主客观性能评价

信息科学 | 更新时间：2020-07-07

- 图像去雾算法的改进和主客观性能评价
- Improvements of image haze removal algorithm and its subjective and objective performance evaluation
- 光学精密工程 2017年25卷第3期页码：735-741
- 作者机构：
  
  清华大学电子工程系, 北京 100084
- 作者简介：
  
  [ "李佳童 (1994-), 女, 四川成都人, 2016年于清华大学电子工程系获得工学学士学位, 现为美国University of Michigan-Ann Arbor研究生, 主要从事信号, 图像处理与机器学习方面的研究。E-mail:jenniferjtli@hotmail.com" ]
  章毓晋 (1954-), 男, 江苏江阴人, 1989年于比利时列日大学获得应用科学博士学位, 现为清华大学电子工程系教研系列长聘教授, 主要从事图像工程 (图象处理、图象分析、图象理解及其技术应用) 的研究。E-mail:zhang-yj@tsinghua.edu.cn ZHANG Yu-jin, E-mail:zhang-yj@tsinghua.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(61171118);国家自然科学基金资助项目(61673234)
- DOI：10.3788/OPE.20172503.0735
  中图分类号： TP391.4
- 收稿日期：2016-12-21，
  
  录用日期：2017-1-15，
  
  纸质出版日期：2017-03-25
- 稿件说明：
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李佳童, 章毓晋. 图像去雾算法的改进和主客观性能评价[J]. 光学精密工程, 2017,25(3):735-741.

Jia-tong LI, Yu-jin ZHANG. Improvements of image haze removal algorithm and its subjective and objective performance evaluation[J]. Optics and precision engineering, 2017, 25(3): 735-741.
李佳童, 章毓晋. 图像去雾算法的改进和主客观性能评价[J]. 光学精密工程, 2017,25(3):735-741. DOI： 10.3788/OPE.20172503.0735.

Jia-tong LI, Yu-jin ZHANG. Improvements of image haze removal algorithm and its subjective and objective performance evaluation[J]. Optics and precision engineering, 2017, 25(3): 735-741. DOI： 10.3788/OPE.20172503.0735.

摘要

本文主要研究了图像去雾技术以提高由于雾霾影响而导致的失真图像的主客观质量。对基于暗通道先验和大气散射模型的去雾算法进行了改进，设计了新的天空区域计算和透射率阈值确定方法，通过增强结果图的对比度和调整亮度，进一步降低了算法的失真。还通过对图像加雾，分别从主观质量评价和以结构相似度作为客观标准的客观评价两方面，用数理统计方法比较了各个相关算法的性能。实验表明，所提算法有效地降低了图像的失真（评价分最高），使去雾图像有较高的主观质量（总体评价分并列最高）。

Abstract

In this paper

a study was conducted in the image haze removal to improve the subjective quality of images distorted due to haze. First

the haze removal algorithm based on dark channel prior and atmospheric scattering model was improved

and a new method for calculation of the sky area and determination of the transmittance threshold was designed; then the distortion of such algorithm was further lowered by enhancing the image contrast and adjusting the brightness; finally

mathematical statistic method was used to compare the performance of each relevant algorithm by adding haze to the image

with subjective quality assessment and structural similarity as the objective criterion. The experiment in the existing haze images and the actually shot images indicates that the proposed algorithm can effectively reduce the distortion of images (with the highest assessment scores)

thus keeping the haze removed images with relatively high subjective quality (tying first in the overall assessment).

关键词

Keywords

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