Results 21 to 30 of about 691 (187)
Efficient Dehazing Method for Outdoor and Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 As an atmospheric phenomenon, haze significantly reduces the visibility of outdoor and remote sensing images. As remote sensing and outdoor imaging have different mechanisms, existing dehazing methods are hard to be applied for both outdoor images and ...
Chenyang Li +6 more
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Artifact-free single image defogging [PDF]
, 2021 none2noIn this paper, we present a novel defogging technique, named CurL-Defog, with the aim of minimizing the insertion of artifacts while maintaining good contrast restoration and visibility enhancement. Many learning-based defogging approaches rely on
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Applied Sciences, 2023 To address the issue of blurred images generated during ice wind tunnel tests, we propose a high-resolution dense-connection GAN model, named Dense-HR-GAN.
Wenjun Zhou +4 more
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Robust Single-Image Dehazing [PDF]
Electronics, 2021 This paper proposes a new single-image dehazing method, which is an important preprocessing step in vision applications to overcome the limitations of the conventional dark channel prior. The dark channel prior has a tendency to underestimate transmissions of bright regions or objects that can generate color distortions during the process of dehazing ...
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DEEP LEARNING MODEL FOR HAZE REMOVAL FROM REMOTE SENSING IMAGES [PDF]
, 2023 Satellite image haze removal techniques are extensively used in several outdoor applications. Lack of sufficient knowledge that is required to restore hazy satellite images, the existing techniques usually use various attributes and assign constant ...
Y. Ravi Sankaraiah, Madathala Guru Prasad Reddy, Ongolu Venkata Praveen Reddy, Kummagiri Muralikrishna, Kunda Chandra Sekhar Sai
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Benchmarking Single-Image Dehazing and Beyond [PDF]
IEEE Transactions on Image Processing, 2019 IEEE Transactions on Image Processing(TIP 2019)
Boyi Li +6 more
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A Model-Driven Deep Dehazing Approach by Learning Deep Priors
IEEE Access, 2021 Photos taken in hazy weather are usually covered with white masks and lose important details. Haze removal is a fundamental task and a prerequisite to many other vision tasks.
Dong Yang, Jian Sun
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Research on Multi-Scale Feature Fusion Dehazing Network Based on Feature Differences [PDF]
Jisuanji gongchengHaze, formed by the accumulation and concentration of atmospheric pollutants under meteorological conditions, such as temperature inversion, severely limits visibility.
LIU Yanhong, YANG Qiuxiang, HU Shuai
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SINGLE-IMAGE DEHAZING ON AERIAL IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Haze contains floating particles in the air which can result in image quality degradation and visibility reduction in airborne data. Haze removal task has several applications in image enhancement and can improve the performance of automatic image ...
M. Madadikhaljan +5 more
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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The images captured during haze, murkiness and raw weather has serious degradation in them. Image dehazing of a single image is a problematic affair. While already-in-use systems depend on high-quality images, some Computer Vision applications, such self-driving cars and image restoration, typically use input from data that is of poor quality.
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