Accelerating Haze Removal Algorithm Using CUDA [PDF]
Remote Sensing, 2020 The dark channel prior (DCP)-based single image removal algorithm achieved excellent performance. However, due to the high complexity of the algorithm, it is difficult to satisfy the demands of real-time processing. In this article, we present a Graphics
Xianyun Wu +4 more
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DFFNet: A Dual-Domain Feature Fusion Network for Single Remote Sensing Image Dehazing [PDF]
SensorsSingle remote sensing image dehazing aims to eliminate atmospheric scattering effects without auxiliary information. It serves as a crucial preprocessing step for enhancing the performance of downstream tasks in remote sensing images.
Huazhong Jin +3 more
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Central Corneal Subepithelial Haze Following Keratoplasty With Interrupted Sutures: A Novel Clinical Finding [PDF]
International Medical Case Reports JournalOmar Kirat, Rawan Hawsawi, Sara AlHilali Anterior Segment Division, King Khaled Eye Specialist Hospital, Riyadh, Saudi ArabiaCorrespondence: Sara AlHilali, Anterior segment division King Khaled Eye Specialist Hospital, P.O.Box 7191, Riyadh, 11462, Saudi ...
Kirat O, Hawsawi R, AlHilali S
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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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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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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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A REVIEW ON COMPARATIVE ANALYSIS OF DEHAZING OF REMOTE SENSING IMAGES USING DIFFERENT FILTERS
ICTACT Journal on Image and Video Processing, 2021 Haze is an atmospheric phenomenon caused by scattering of atmospheric particles in air and these factor causes deterioration of images, captured by the sensors.
M Kamalam , N Ameena Bibi
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