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Blind Image Deblurring Using Dark Channel Prior
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016We present a simple and effective blind image deblurring method based on the dark channel prior. Our work is inspired by the interesting observation that the dark channel of blurred images is less sparse. While most image patches in the clean image contain some dark pixels, these pixels are not dark when averaged with neighboring highintensity pixels ...
Hanspeter Pfister +2 more
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Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior
Electronics, 2023 Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to ...
Hao Zhou, Hailing Xiong
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Single Image Dehazing Using Dark Channel Fusion and Dark Channel Confidence
2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), 2020Sometimes dark channel prior for single image dehazing algorithms may fail in sky areas and suffer from the darkness and residual artifacts. In this paper, we have proposed a new method to solve these problems which based on dark channel fusion and dark channel confidence.
Wang Shuo, Chen Jinyu
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Reply to 'Dark channel fluorescence...' and 'Dips and peaks...'
Nature Chemistry, 2012Reference EPFL-ARTICLE-184281doi:10.1038/nchem.1449View record in Web of Science Record created on 2013-02-27, modified on 2017-05 ...
Emad F. Aziz +3 more
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The impact of dark current on the wideband Poisson channel
2014 IEEE International Symposium on Information Theory, 2014We study the discrete-time Poisson channel under the constraint that its average input power (in photons per channel use) must not exceed some constant E.W e consider the wideband, high-photon-efficiency extreme where E approaches zero, and where the channel's "dark current" approaches zero proportionally with E.E xtending our previous work, we show ...
Ligong Wang 0002, Gregory W. Wornell
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Dark Channel Enhancement Algorithm with SRAD Model
2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018In this work we proposed a dark channel enhancement algorithm to solve hue and brightness distortion in the classic dark channel prior algorithm. Our algorithm was designed with the SRAD model (Reducing Anisotropic Diffusion Speckle). In our algorithm, the transmission image was firstly smoothed by the SRAD model and two tolerant parameters to get the ...
Gongxing Wu, Yongqiang Cheng 0005
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DCNet: Dark Channel Network for single-image dehazing
Machine Vision and Applications, 2021Single-image dehazing is an extensively studied field and an ill-posed problem faced by vision-based systems in an outdoor environment. This paper proposes a dark channel network to estimate the transmission map of an input hazy scene for single-image dehazing. The architecture constitutes two major components—feature extraction layer and convolutional
Akshay Bhola +2 more
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Channelling the force of audit and feedback: averting the dark side
BMJ Quality & Safety, 2022Funding EMD is funded through a personal fellowship from the Healthcare Improvement Studies Institute, supported by the Health Foundation’s grant to the University of Cambridge. JMG holds a Canada Research Chair in Health Knowledge Transfer and Uptake.
Eilidh M Duncan +2 more
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Single Image Dehazing Based on Weighted Dark Channel
2019 IEEE International Conference on Consumer Electronics (ICCE), 2019Most single image dehazing methods are based on the dark channel prior. However, since the use of the dark channel prior results in halo artifacts, these conventional dehazing methods employ computationally complex post-refinement processes to eliminate the halo artifacts.
Hong-Kyu Shin +3 more
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Third International Conference on Optics and Image Processing (ICOIP 2023), 2023
Qida Wei, Yunqing Zhou
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Qida Wei, Yunqing Zhou
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