Results 11 to 20 of about 820 (130)
RABNet: A Residual Attention-Based Network for Visibility Restoration in Hazy Images
IET Computers & Digital TechniquesImage dehazing enhances visibility and image quality, enabling better decision-making in critical applications such as surveillance, remote sensing, and autonomous driving. However, single-image dehazing remains challenging due to the need for smoothness
Syeda Rabail Zahra +7 more
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AED-Net: A Single Image Dehazing
IEEE Access, 2022 In the past decade, significant research effort has been directed toward developing single-image dehazing algorithms. Despite this effort, dehazing continues to present a challenge, particularly in complex real-world cases.
Sargis A. Hovhannisyan +3 more
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IFE-Net: An Integrated Feature Extraction Network for Single-Image Dehazing
Applied Sciences, 2023 In recent years, numerous single-image dehazing algorithms have made significant progress; however, dehazing still presents a challenge, particularly in complex real-world scenarios.
Can Leng, Gang Liu
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New approach to dehaze single nighttime image
Xibei Gongye Daxue Xuebao, 2021 This paper focus on the dehazing of a single image captured at nighttime. The current state-of-the-art nighttime dehazing approaches usually suffer from the color shift problem due to the fact that the assumptions enforced underdaytime cannot get applied
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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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Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation
Sensors, 2021 Haze is a term that is widely used in image processing to refer to natural and human-activity-emitted aerosols. It causes light scattering and absorption, which reduce the visibility of captured images. This reduction hinders the proper operation of many
Dat Ngo, Gi-Dong Lee, Bongsoon Kang
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Zero-Shot Remote Sensing Image Dehazing Based on a Re-Degradation Haze Imaging Model
Remote Sensing, 2022 Image dehazing is crucial for improving the advanced applications on remote sensing (RS) images. However, collecting paired RS images to train the deep neural networks (DNNs) is scarcely available, and the synthetic datasets may suffer from domain-shift ...
Jianchong Wei +4 more
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Improved dehazing techniques for maritime surveillance image enhancement [PDF]
Serbian Journal of Electrical Engineering, 2018 The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects.
Stojanović Branka +2 more
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An efficient single image dehazing algorithm based on transmission map estimation with image fusion
Engineering Science and Technology, an International Journal, 2022 Single image dehazing is always the focus of attention in the field of image processing. The major improvements in most optical scattering model based dehazing algorithms focused on the transmission map estimation since that the improper of transmission ...
Shuangyu Cheng, Bin Yang
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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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