Results 11 to 20 of about 18,768,334 (232)
Let Segment Anything Help Image Dehaze [PDF]
arXiv.org, 2023 The large language model and high-level vision model have achieved impressive performance improvements with large datasets and model sizes. However, low-level computer vision tasks, such as image dehaze and blur removal, still rely on a small number of ...
Z. Jin +4 more
semanticscholar +4 more sources
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
Jing Li +4 more
doaj +2 more sources
Nighttime Image Dehazing by Render
Journal of Imaging, 2023 Nighttime image dehazing presents unique challenges due to the unevenly distributed haze caused by the color change of artificial light sources. This results in multiple interferences, including atmospheric light, glow, and direct light, which make the ...
Zheyan Jin +3 more
doaj +4 more sources
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.
Zhibo Wang +3 more
doaj +2 more sources
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
doaj +3 more sources
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
doaj +2 more sources
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing [PDF]
IEEE International Conference on Multimedia and Expo, 2022 The previous deep CNN-based single-image dehazing methods are devoted to improving the performance by increasing the network’s depth and width. In this paper, a novel Large Kernel Convolution Dehaze Network (LKD-Net) is proposed to enhance the network’s ...
Pin Luo +3 more
semanticscholar +2 more sources
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
doaj +3 more sources
Applied Computational Intelligence and Soft ComputingThe invention of infrastructure facilities in intelligent transportation systems is skyrocketing every day. The improvements in such things have many pros and cons.
K. P. Risha +3 more
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Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing
Sensors, 2020 In this paper, we propose a new unsupervised attention-based cycle generative adversarial network to solve the problem of single-image dehazing. The proposed method adds an attention mechanism that can dehaze different areas on the basis of the previous ...
Jiahao Chen +3 more
doaj +2 more sources