Single Image Dehazing Using Global Illumination Compensation
Sensors, 2022 The existing dehazing algorithms hardly consider background interference in the process of estimating the atmospheric illumination value and transmittance, resulting in an unsatisfactory dehazing effect. In order to solve the problem, this paper proposes
Junbao Zheng +3 more
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Dehazing in hyperspectral images: the GRANHHADA database [PDF]
Scientific Reports, 2023 In this study, we present an analysis of dehazing techniques for hyperspectral images in outdoor scenes. The aim of our research is to compare different dehazing approaches for hyperspectral images and introduce a new hyperspectral image database called ...
Sol Fernández Carvelo +3 more
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Real-time Image Dehazing Realization Based on HLS [PDF]
Jisuanji gongcheng, 2016 Outdoor image or video often suffers from blurring and color deviation due to the atmospheric haze.This has a bad impact on the stability of outdoor video system.Because of high computational complexity of existing dehazing algorithms,it is difficult to ...
QI Le,ZHANG Xiaogang,YAO Hang
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Image dehazing algorithm based on deep transfer learning and local mean adaptation [PDF]
Scientific ReportsIn recent years, haze has significantly hindered the quality and efficiency of daily tasks, reducing the visual perception range. Various approaches have emerged to address image dehazing, including image enhancement, restoration, and deep learning-based
Dongyang Shi, Sheng Huang
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DUNet: a novel dehazing model based on outdoor images [PDF]
Frontiers in Plant ScienceImage dehazing technology is widely utilized in outdoor environments, especially in precision agriculture, where it enhances image quality and monitoring accuracy.
Wei Zhao +10 more
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AMSA-Net: attention-based multi-scale feature aggregation network for single image dehazing [PDF]
Frontiers in NeuroroboticsProblemDeep learning technology promotes the development of single-image dehazing. However, many existing methods fail to fully consider the haze density and its spatial distribution, which limits the improvement of dehazing performance.Proposed ...
Shanqin Wang +3 more
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Hazediff: A training-free diffusion-based image dehazing method with pixel-level feature injection. [PDF]
PLoS ONEIn the current environmental context, significant emissions generated by industrial and transportation activities, coupled with an unreasonable energy structure, have resulted in recurrent haze phenomena.
Xiaoxia Lin +8 more
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Enhance Low Visibility Image Using Haze-Removal Framework
IEEE Access, 2023 We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness.
Ping Juei Liu
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An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network
Sensors, 2022 The purpose of image dehazing is to remove the interference from weather factors in degraded images and enhance the clarity and color saturation of images to maximize the restoration of useful features.
Jun Xu +3 more
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SIDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images
Sensors, 2020 Single image dehazing is a difficult problem because of its ill-posed nature. Increasing attention has been paid recently as its high potential applications in many visual tasks. Although single image dehazing has made remarkable progress in recent years,
Renjie He, Xintao Guo, Zhongke Shi
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