Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

Gaofeng Meng, Ying Wang, Jiangyong Duan, Shiming Xiang, Chunhong Pan

ICCV 2013

doi:10.1109/ICCV.2013.82 /iccv/2013/meng2013iccv-efficient/

Abstract

suffer from bad visibility. In this paper, we propose an efficient regularization method to remove hazes from a single input image. Our method benefits much from an exploration on the inherent boundary constraint on the transmission function. This constraint, combined with a weighted ms1 sonffnbased contextual regularization, is modeled into an optimization problem to estimate the unknown scene transmission. A quite efficient algorithm based on variable splitting is also presented to solve the problem. The proposed method requires only a few general assumptions and can restore a high-quality haze-free image with faithful colors and fine image details. Experimental results on a variety of haze images demonstrate the effectiveness and efficiency of the proposed method. Keywords-image processing; single image dehazing; visibility enhancement; I. I NTRODUCTION When one takes a picture in foggy weather conditions, the obtained image often suffers from poor visibility. The distant objects in the fog lose the contrasts and get blurred with

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Text

Meng et al. "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization." International Conference on Computer Vision, 2013. doi:10.1109/ICCV.2013.82

Markdown

[Meng et al. "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization." International Conference on Computer Vision, 2013.](https://mlanthology.org/iccv/2013/meng2013iccv-efficient/) doi:10.1109/ICCV.2013.82

BibTeX

@inproceedings{meng2013iccv-efficient,
  title     = {{Efficient Image Dehazing with Boundary Constraint and Contextual Regularization}},
  author    = {Meng, Gaofeng and Wang, Ying and Duan, Jiangyong and Xiang, Shiming and Pan, Chunhong},
  booktitle = {International Conference on Computer Vision},
  year      = {2013},
  doi       = {10.1109/ICCV.2013.82},
  url       = {https://mlanthology.org/iccv/2013/meng2013iccv-efficient/}
}