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Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization
Cui T(崔童); Tian JD(田建东); Wang ED(王恩德); Tang YD(唐延东)
Department机器人学研究室
Source PublicationIET Image Processing
ISSN1751-9659
2017
Volume11Issue:2Pages:145-154
Indexed BySCI ; EI
EI Accession number20170303259366
WOS IDWOS:000393784600007
Contribution Rank1
Funding OrganizationNationalNatural Science Foundation of China under Grant (nos. 61473280, 61401455 and 61333019).
Abstract

Image dehazing is a useful technique which can eliminate the bad effect of haze on images and enhance the performances of image/video processing algorithms in the hazy weather. In this study, a single image dehazing method is proposed. The authors estimate the initial transmission properly based on latent region-segmentation and refine the estimated initial transmission by an objective function with a novel weighted L1-norm regularisation term. The half-quadratic splitting minimisation method is employed to solve this optimisation problem. They also define an evaluation function to estimate the reliable global atmospheric light. With the refined transmission map and atmospheric light they recover the haze-free image by the haze imaging model. The authors’ method is compared with three state-of-the-art methods and is also validated by two image quality assessment methods. The comparative experimental results and evaluations demonstrate that their method can recover comparable and even better results with clear details, low contrast loss and high contrast in most cases.

Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS KeywordMinimization ; Framework
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/19723
Collection机器人学研究室
Corresponding AuthorTian JD(田建东)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Shenyang Institute of Automation, University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Optical-Electronics Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Cui T,Tian JD,Wang ED,et al. Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization[J]. IET Image Processing,2017,11(2):145-154.
APA Cui T,Tian JD,Wang ED,&Tang YD.(2017).Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization.IET Image Processing,11(2),145-154.
MLA Cui T,et al."Single Image Dehazing by Latent Region-Segmentation Based Transmission Estimation and Weighted L1-norm Regularization".IET Image Processing 11.2(2017):145-154.
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