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基于半解析模型的夜间雾天图像生成算法

郭璠 刘文韬 杨佳男 唐琎

通信学报2025,Vol.46Issue(4):129-143,15.
通信学报2025,Vol.46Issue(4):129-143,15.DOI:10.11959/j.issn.1000-436x.2025061

基于半解析模型的夜间雾天图像生成算法

Nighttime foggy image generation algorithm based on semi-analytic model

郭璠 1刘文韬 2杨佳男 2唐琎1

作者信息

  • 1. 中南大学自动化学院,湖南 长沙 410083||湘江实验室,湖南 长沙 410205
  • 2. 中南大学自动化学院,湖南 长沙 410083
  • 折叠

摘要

Abstract

To solve the problems that there were few studies on the generation of night foggy images,and the commonly used atmospheric scattering model was not effective in generating foggy nights,a new night foggy image generation method was proposed.First,since artificial light sources often dominate the night scene,a semi-analytical foggy imaging model that describes artificial light sources and halo phenomena was constructed.Then,an intrinsic image decomposition method was used to decompose the night image into illuminance map and reflection map to obtain the relevant parameters of the semi-analytical model.Finally,the atmospheric modulation function and the point spread function were used to fur-ther simulate the halo effect of the artificial light source,and the final generation effect can be obtained.The experimental results show that,compared with other methods,the proposed method can better simulate the halo effect of artificial light source under nighttime fog.Meanwhile,the statistical results of AuthESI indicators and volunteer preference experiments also reflect that the simulation effect of the proposed method is more realistic and natural compared with other methods.

关键词

夜晚图像/雾天图像生成/半解析模型/图像分解/光晕效果

Key words

night image/foggy image generation/semi-analytic model/image decomposition/glow effect

分类

计算机与自动化

引用本文复制引用

郭璠,刘文韬,杨佳男,唐琎..基于半解析模型的夜间雾天图像生成算法[J].通信学报,2025,46(4):129-143,15.

基金项目

湘江实验室重点基金资助项目(No.23XJ02002) (No.23XJ02002)

湖南省自然科学基金资助项目(No.2023JJ30697,No.2025JJ50396) (No.2023JJ30697,No.2025JJ50396)

长沙市自然科学基金资助项目(No.kq2208286) The Scientific Research Project of Xiang Jiang Lab(No.23XJ02002),The Natural Science Foundation of Hunan Province(No.2023JJ30697,No.2025JJ50396),The Natural Science Foundation of Changsha(No.kq2208286) (No.kq2208286)

通信学报

OA北大核心

1000-436X

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