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Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing
Journal of Imaging, 2023 Image dehazing, a fundamental problem in computer vision, involves the recovery of clear visual cues from images marred by haze. Over recent years, deploying deep learning paradigms has spurred significant strides in image dehazing tasks.
Jeong Ik Min, Jia Jia, Zhibo Wang
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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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ED-Dehaze Net: Encoder and Decoder Dehaze Network.
International Journal of Interactive Multimedia and Artificial Intelligence, 2022 The presence of haze will significantly reduce the quality of images, such as resulting in lower contrast and blurry details. This paper proposes a novel end-to-end dehazing method, called Encoder and Decoder Dehaze Network (ED-Dehaze Net), which contains a Generator and a Discriminator. In particular, the Generator uses an Encoder-Decoder structure to
Zhang, Hongqi +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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CoRR, 2022 In this paper, we introduce a new computer vision task called nighttime dehaze-enhancement. This task aims to jointly perform dehazing and lightness enhancement. Our task fundamentally differs from nighttime dehazing -- our goal is to jointly dehaze and enhance scenes, while nighttime dehazing aims to dehaze scenes under a nighttime setting.
Harshan Baskar +9 more
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Dehazing in hyperspectral images: the GRANHHADA database
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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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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Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 Accepted at CVPRW: NTIRE ...
Deniz Engin +2 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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