Results 11 to 20 of about 870,321 (334)
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss [PDF]
IEEE Transactions on Image Processing, 2020 Single image dehazing is a critical stage in many modern-day autonomous vision applications. Early prior-based methods often involved a time-consuming minimization of a hand-crafted energy function. Recent learning-based approaches utilize the representational power of deep neural networks (DNNs) to learn the underlying transformation between hazy and ...
Alona Golts +2 more
openaire +5 more sources
Remote Sensing, 2020 Cloud detection, as a crucial step, has always been a hot topic in the field of optical remote sensing image processing. In this paper, we propose a deep learning cloud detection Network that is based on the Gabor transform and Attention modules with ...
Jing Zhang +7 more
doaj +3 more sources
Single image haze removal using content‐adaptive dark channel and post enhancement
IET Computer Vision, 2014 As a challenging problem, image haze removal plays an important role in computer vision applications. The dark channel prior has been widely studied for haze removal since it is simple and effective; however, it still suffers from over‐saturation ...
Bo Li +3 more
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Dark Matter Direct Detection in 𝗍-channel mediator models [PDF]
Journal of Cosmology and Astroparticle PhysicsAbstract We perform a comprehensive study of the Direct Detection phenomenology of singlet Dark Matter t-channel portal models. For that purpose, we present a complete one-loop matching onto a Heavy Dark-Matter Effective Field Theory, leading to a complete computation of the loop induced Direct Detection cross-section for both scalar
Giorgio Arcadi +3 more
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Strawberry Maturity Recognition Algorithm Combining Dark Channel Enhancement and YOLOv5. [PDF]
Sensors (Basel), 2022 Fan Y +5 more
europepmc +2 more sources
Design and implementation of dark channel white balance algorithm based on FPGA
Dianzi Jishu Yingyong, 2021 In order to ensure the real-time performance of the system and solve the problem that the perfect reflection method fails in the exposure environment, this paper proposes an FPGA-based dark channel automatic white balance correction algorithm.
Wang Chao, Zhen Guoyong, Shan Yanhu
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Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method
Sensors, 2023 Forest fires can destroy forest and inflict great damage to the ecosystem. Fortunately, forest fire detection with video has achieved remarkable results in enabling timely and accurate fire warnings.
Jiarun Huang +3 more
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A Review of Remote Sensing Image Dehazing
Sensors, 2021 Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible ...
Juping Liu +4 more
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IMAGE FAST DEHAZING ALGORITHM BASED ON DARK CHANNEL PRIOR IMPROVEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Aiming at the long-running time and the defogging image darkening problem in the dark channel prior algorithm, a fast deaeration algorithm based on the guided filter and improved two-dimensional gamma function for dark channel prior image is proposed ...
J. W. Li +7 more
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Dark Channel Defogging Algorithm Based on Inverse Channel and Improved Guided Filtering [PDF]
Jisuanji gongcheng, 2021 To solve the problems of the existing prior defogging algorithms based on dark channel, such as inaccurate calculation of transmittance and dark defogged images and other problems, this paper proposes a dark channel defogging algorithm using inverse ...
CHEN Ziyan, LONG Daoyin, WANG Xiao, QIN Tao, YANG Jing
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