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Region Adaptive Single Image Dehazing [PDF]
Entropy, 2021 Image haze removal is essential in preprocessing for computer vision applications because outdoor images taken in adverse weather conditions such as fog or snow have poor visibility.
Changwon Kim
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AED-Net: A Single Image Dehazing [PDF]
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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Single Image Dehazing Using Wavelet-Based Haze-Lines and Denoising
IEEE Access, 2021 Haze reduces the contrast of an image and causes the loss in colors, which has a negative effect on the subsequent object detection; therefore, single image dehazing is a challenging visual task.
Wei-Yen Hsu, Yi-Sin Chen
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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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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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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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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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