| 利用中通道补偿的单幅图像去雾 |
| |
| 引用本文： | 杨爱萍,邢金娜,刘瑾,李晓晓. 利用中通道补偿的单幅图像去雾[J]. 东北大学学报(自然科学版), 2021, 42(2): 180-188. DOI: 10.12068/j.issn.1005-3026.2021.02.005 |
| |
| 作者姓名： | 杨爱萍 邢金娜 刘瑾 李晓晓 |
| |
| 作者单位： | (天津大学 电气自动化与信息工程学院， 天津300072) |
| |
| 基金项目： | 国家自然科学基金资助项目 |
| |
| 摘 要： | 针对雾天图像对比度低和细节模糊等问题,将图像分解为纹理层和结构层,对含有大部分雾气的结构层进行去雾,对纹理层进行增强.为了避免大气光估计易受白色物体影响,提出一种RGB空间立体判决图,并设计基于自适应阈值约束的大气光估计方法,可有效区分天空和非天空区域;针对暗通道先验处理大面积天空、浓雾区域失效问题,提出一种基于中通道...
|
| 关 键 词： | 图像去雾 中通道补偿 自适应大气光估计 侧窗导向滤波 图像分层 |
| 收稿时间： | 2020-06-30 |
| 修稿时间： | 2020-06-30 |
Single Image Dehazing Based on Middle Channel Compensation |
| |
| YANG Ai-ping,XING Jin-na,LIU Jin,LI Xiao-xiao. Single Image Dehazing Based on Middle Channel Compensation[J]. Journal of Northeastern University(Natural Science), 2021, 42(2): 180-188. DOI: 10.12068/j.issn.1005-3026.2021.02.005 |
| |
| Authors: | YANG Ai-ping XING Jin-na LIU Jin LI Xiao-xiao |
| |
| Affiliation: | School of Electrical and Information Engineering， Tianjin University， Tianjin 300072，China. |
| |
| Abstract: | Focusing on foggy images with low contrast and blurry detail， this paper decomposes the images into texture layer and structural layer firstly. Then the structural layer containing most of the fog is dehazed， and the texture layer is enhanced. To avoid the effect of white objects in the scene on atmospheric light estimation， this paper proposes a kind of stereo decision map in RGB space， and designs an atmospheric light estimation method which can adaptively distinguish between sky and non-sky area based on a threshold constraining scheme. Due to the inefficiency of dark channel prior when dealing with large areas of sky and dense fog， a transmission estimation approach based on middle channel compensation is put forward， which can avoid color distortion of dehazed images. Furthermore， the transmission is refined by the guided filtering with side window， which can preserve image details. Extensive experimental results show that the proposed approach can realize haze removal thoroughly， and the dehazed image has natural colors and vivid details. |
| |
| Keywords: | image dehazing middle channel compensation adaptive atmospheric light estimation guided filtering with side window image layering, |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《东北大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《东北大学学报(自然科学版)》下载全文 |
