Skip to content
/ rsvt Public

Haze Removal via Regional Saturation-Value Translation and Soft Segmentation

Notifications You must be signed in to change notification settings

tranleanh/rsvt

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 

Repository files navigation

Haze Removal via Regional Saturation-Value Translation and Soft Segmentation

Official Python implementation of the paper "Haze Removal via Regional Saturation-Value Translation and Soft Segmentation".

Authors: Le-Anh Tran and Dong-Chul Park

Updates

  • Dehazing results
  • Official code
  • Paper

Introduction

This paper proposes a single image dehazing prior, called Regional Saturation-Value Translation (RSVT), to tackle the color distortion problems caused by conventional dehazing approaches in bright regions. The RSVT prior is developed based on two key observations regarding the relationship between hazy and haze-free points in the HSV color space. First, the hue component shows marginal variation between corresponding hazy and haze-free points, consolidating a hypothesis that the pixel value variability induced by haze primarily occurs in the saturation and value spaces. Second, in the 2D saturation-value coordinate system, most lines passing through hazy-clean point pairs are likely to intersect near the atmospheric light coordinates. Accordingly, haze removal for the bright regions can be performed by properly translating saturation-value coordinates. In addition, an effective soft segmentation method based on a morphological min-max channel is introduced. By combining the soft segmentation mask with the RSVT prior, a comprehensive single image dehazing framework is devised. Experimental results on various synthetic and realistic hazy image datasets demonstrate that the proposed scheme successfully addresses color distortion issues and restores visually appealing images.

Results

1. Quantitative Results:

2. Qualitative Results:

Test

(will be updated)

Citation

Please cite our works if you use the data in this repo.

@inproceedings{tran2023single,
  title={Single Image Dehazing via Regional Saturation-Value Translation},
  author={Tran, Le-Anh and Kwon, Daehyun and Park, Dong-Chul},
  booktitle={International Conference on Industry Science and Computer Sciences Innovation},
  year={2023},
  organization={Elsevier}
}

@article{tran2024haze,
  title={Haze Removal via Regional Saturation-Value Translation and Soft Segmentation},
  author={Tran, Le-Anh and Park, Dong-Chul},
  journal={arXiv preprint arXiv:2403.12054},
  year={2024}
}

LA Tran

About

Haze Removal via Regional Saturation-Value Translation and Soft Segmentation

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published