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Incorporating inconsistent auxiliary images in haze removal of very high resolution images
International Journal of Applied Earth Observations and Geoinformation, 2023 Haze contamination is a common issue in very high resolution (VHR) remote sensing images, which inevitably hinders their application. The use of auxiliary images has been a key trend for enhancing haze removal.
Xiaofeng Ma, Qunming Wang, Xiaohua Tong
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An Analysis of the Sources of Ultrafine Particles During Severe Haze Pollution Periods in China [PDF]
ToxicsHaze Pollution in China arises from the rapid enlargement of ultrafine particles into light-absorbing fine particulate matter through adsorption processes under atmospheric stagnation conditions.
Jingkun Zhou, Long Sun, Yunkai Zhou
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MCPA: A Fast Single Image Haze Removal Method Based on the Minimum Channel and Patchless Approach
IEEE Access, 2022 The image haze removal algorithm is challenging regarding computational processing speed and the hazy removal effect. Instead of using the local patch approach, which assumes the scene transmission to be locally constant and uses various filters to ...
Chiou-Shann Fuh, Tzu-Chia Tung
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Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light
Remote Sensing, 2020 Haze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in ...
Dat Ngo, Seungmin Lee, Bongsoon Kang
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A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images
Remote Sensing, 2016 Spatially varying haze is a common feature of most satellite images currently used for land cover classification and mapping and can significantly affect image quality. In this paper, we present a high-fidelity haze removal method based on Haze Optimized
Hou Jiang, Ning Lu, Ling Yao
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Remote Sensing, 2017 Optical satellite imagery is often contaminated by the persistent presence of clouds and atmospheric haze. Without an effective method for removing this contamination, most optical remote sensing applications are less reliable.
Lixin Sun +2 more
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Image Dehazing in Disproportionate Haze Distributions
IEEE Access, 2021 Haze removal techniques employed to increase the visibility level of an image play an important role in many vision-based systems. Several traditional dark channel prior-based methods have been proposed to remove haze formation and thereby enhance the ...
Shih-Chia Huang +7 more
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A SINGLE IMAGE DEHAZING DATASET WITH LOW-LIGHT REAL-WORLD INDOOR IMAGES, DEPTH MAPS AND INFRARED IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Benchmarking of haze removal methods and training related models requires appropriate datasets. The most objective metrics of assessment quality of dehazing are shown by reference metrics – i.e. those in which the reconstructed image is compared with the
A. Filin, A. Kopylov, I. Gracheva
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Haze removal network using unified function for image dehazing
Electronics Letters, 2021 The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill ...
Hyungseok Oh +3 more
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A new Gaussian curvature of the image surface based variational model for haze or fog removal.
PLoS ONE, 2023 Outdoor images are usually affected by haze which limits the visibility and reduces the contrast of the images. Removal of haze from real-world images is always a challenging task.
Muhammad Arif +6 more
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