Accelerating Haze Removal Algorithm Using CUDA
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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Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images
Remote Sensing, 2018 Haze removal is a pre-processing step that operates on at-sensor radiance data prior to the physically based image correction step to enhance hazy imagery visually.
Hou Jiang, Ning Lu
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Applied Sciences, 2020 This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value.
Yutaro Iwamoto +2 more
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A 4K-Capable FPGA Implementation of Single Image Haze Removal Using Hazy Particle Maps
Applied Sciences, 2019 This paper presents a fast and compact hardware implementation using an efficient haze removal algorithm. The algorithm employs a modified hybrid median filter to estimate the hazy particle map, which is subsequently subtracted from the hazy image to ...
Dat Ngo, Gi-Dong Lee, Bongsoon Kang
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Image Haze Removal Method Based on Histogram Gradient Feature Guidance. [PDF]
Int J Environ Res Public Health, 2023 Optical remote sensing images obtained in haze weather not only have poor quality, but also have the characteristics of gray color, blurred details and low contrast, which seriously affect their visual effect and applications.
Huang S, Zhang Y, Zhang O.
europepmc +2 more sources
Single image haze removal based on a simple addtive model with haze smoothness prior [PDF]
, 2022 Single image haze removal, which is to recover the clear version of a hazy image, is a challenging trask in computer vision. In this paper, an additive haze model is proposed to approximate the hazy image formation process.
Tang, G. +5 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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Phenolic-Degrading Enzymes: Effect on Haze Active Phenols and Chill Haze in India Pale Ale Beer
Foods, 2022 The development of green and sustainable biotechnological approaches for preventing chill haze formation is currently under investigation. In this preliminary study, laccase and tannase (pure or combined) were applied as phenolic-degrading enzymes during
Ilaria Benucci +3 more
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A COMPARISON OF HAZE REMOVAL ALGORITHMS AND THEIR IMPACTS ON CLASSIFICATION ACCURACY FOR LANDSAT IMAGERY [PDF]
, 2017 The quality of Landsat images in humid areas is considerably degraded by haze in terms of their spectral response pattern, which limits the possibility of their application in using visible and near-infrared bands.
Zhang,Zhiming +7 more
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Hardware Implementation for Haze Removal With Adaptive Filtering
IEEE Access, 2019 Haze removal is useful in computational photography and computer vision applications. Single image haze removal is still a challenge for real-time embedded systems.
Bin Zhang, Jing Wei
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