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HazeRD: An Outdoor Scene Dataset and Benchmark for Single Image Dehazing
- Citation Author(s):
-
LiDing
University of RochesterGauravSharmaUniversity of Rochester - Submitted by:
- Li Ding
- Last updated:
- Tue, 05/17/2022 - 22:21
- DOI:
- 10.21227/h6q8-y165
- Data Format:
- Link to Paper:
- Links:
- License:
- Creative Commons Attribution
4358 Views- Categories:
- Keywords:
Abstract
We proposed a new dataset, HazeRD, for benchmarking dehazing algorithms under realistic haze conditions. As opposed to prior datasets that made use of synthetically generated images or indoor images with unrealistic parameters for haze simulation, our outdoor dataset allows for more realistic simulation of haze with parameters that are physically realistic and justified by scattering theory.
HazeRD was proposed and described in the paper:
Yanfu Zhang, Li Ding, and Gaurav Sharma, “Hazerd: an outdoor scene dataset and benchmark for Single image dehazing,” in IEEE Intl. Conf. Image Proc. (ICIP), Sept 2017, pp. 3205–3209.
I) Installation:
Unzip the source code archive. This will create a sub-directory "HazeRD", which is intended to be the directory where you run the MATLAB script.
II(a) HazeRD Dataset Generation:
Run script demo_simu_haze.m to generate the HazeRD dataset
II(b) Computing fidelity metrics for dehazed images with respect to originals:
Run script demo_metrics.m to compute the fidelity metrics for dehazed images.
Please see the README.txt for detailed instructions.
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Documentation
| Attachment | Size |
|---|---|
 Readme file | 4.51 KB |
Comments
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thanks for your dataset. it will be helpful
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thank you