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This is the repository for the paper 'Model Assisted Multi-band Fusion for Single Image Enhancement (Dehazing) and Applications to Robot Vision'

License: MIT License

MATLAB 100.00%

multi-band-enhancement's Introduction

Multi-band-enhancement (Dehaznig)

This is the repository for the paper 'Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision'. The detail of the method is described in the paper:

Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision

If you want to use this code, please cite our publication below.

@ARTICLE { ycho-2018-ral,
    AUTHOR = { Younggun Cho and Jinyong Jeong and Ayoung Kim },
    TITLE = { Model Assisted Multi-band Fusion for Single Image Enhancement and Applications to Robot Vision },
    JOURNAL = { IEEE Robotics and Automation Letters },
    YEAR = { 2018 },
    NOTE = { Accepted. To appear. },
}

Usage

Requirements

  • MATLAB (tested on 2015 or above)

Demo

Run 'demo.m' script to get sample results. There are several sample haze images in images/fattal folder. Once the process is done, the output image and transmission map will be plotted.

Author

Younggun Cho ([email protected])

License

The software code of the algorithm is provided for non-commercial use under the attached LICENSE.md

multi-band-enhancement's People

Contributors

irapkaist avatar youngguncho avatar

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