Sand dust image data

Sand dust image data

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Zhenghao Shi
Last updated:
Thu, 03/26/2020 - 10:24
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a example of sand dust image for test


To evaluate whether our proposed method can obtain the closest image to its corresponding original one, we construct a sand-dust image set in this section. Our original images come from O-HAZE\cite{IEEECVPROHAZE:Ancuti}, which is a public haze image set that consists of pairs of haze/haze-free images. Although sand-dust images are similar to hazy images with respect to some optical characteristics, such as atmospheric scattering and absorption, the optical imaging process is more intricate in the sand-dust environment than that in the haze environment. The most obvious difference between them is that sand-dust images usually have an overall yellow tone. Therefore, for simplicity, we model the sand-dust condition only by changing the color tone of hazed images in O-HAZE. Adobe Photoshop is used and we try different kinds of parameters to make the hazed image color tone fit the result in sand-dust conditions. Finally, we resize these images to $400×600$ and convert them to the Portable Network Graphics format.


sand dust images for test 

Submitted by Zhenghao Shi on Thu, 03/26/2020 - 10:27

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[1] Zhenghao Shi, "Sand dust image data ", IEEE Dataport, 2020. [Online]. Available: Accessed: Apr. 04, 2020.
doi = {10.21227/4jxd-p347},
url = {},
author = {Zhenghao Shi },
publisher = {IEEE Dataport},
title = {Sand dust image data },
year = {2020} }
T1 - Sand dust image data
AU - Zhenghao Shi
PY - 2020
PB - IEEE Dataport
UR - 10.21227/4jxd-p347
ER -
Zhenghao Shi. (2020). Sand dust image data . IEEE Dataport.
Zhenghao Shi, 2020. Sand dust image data . Available at:
Zhenghao Shi. (2020). "Sand dust image data ." Web.
1. Zhenghao Shi. Sand dust image data [Internet]. IEEE Dataport; 2020. Available from :
Zhenghao Shi. "Sand dust image data ." doi: 10.21227/4jxd-p347