Results 11 to 20 of about 2,369,121 (286)
Dark-Channel Soft-Constrained and Object-Perception-Enhanced Deep Dehazing Networks Used for Road Inspection Images [PDF]
Sensors, 2023 Haze seriously affects the visual quality of road inspection images and contaminates the discrimination of key road objects, which thus hinders the execution of road inspection work.
Honglin Wu +5 more
doaj +3 more sources
Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing [PDF]
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
A Multi-Scale Dehazing Network with Dark Channel Priors [PDF]
Sensors, 2023 Image dehazing based on convolutional neural networks has achieved significant success; however, there are still some problems, such as incomplete dehazing, color deviation, and loss of detailed information. To address these issues, in this study, we propose a multi-scale dehazing network with dark channel priors (MSDN-DCP).
Guoliang Yang +4 more
openaire +4 more sources
A Single Image Enhancement Technique Using Dark Channel Prior
Applied Sciences, 2021 In this paper, we propose a novel single image enhancement technique for defogging by using dark channel prior. The traditional dark channel prior methods for defogging have problems of high time complexity, edge effect, and failure of dark channel prior.
Cong Wang +3 more
doaj +2 more sources
t-channel dark matter models – a whitepaper [PDF]
European Physical Journal C: Particles and FieldsThis report, summarising work achieved in the context of the LHC Dark Matter Working Group, investigates the phenomenology of t-channel dark matter models, spanning minimal setups with a single dark matter candidate and mediator to more complex ...
Chiara Arina +69 more
doaj +5 more sources
Resonant s-channel dark matter annihilation at NLO [PDF]
Journal of High Energy Physics, 2023 Abstract Studies of dark matter annihilation through an s-channel resonance are often based on recipes such as a narrow width approximation or real intermediate state subtraction. We review a recipe-free formalism that can be implemented at the NLO level in the full theory, and ensures the cancellation of mass singularities.
Laine, M., M. Laine
openaire +5 more sources
t-channel dark matter at the LHC [PDF]
info:eu-repo/semantics ...
Arina, Chiara, Tytgat, Michel
core +7 more sources
New channel to search for dark matter at Belle II
Journal of High Energy PhysicsWe propose a new “disappearing positron track” channel at Belle II to search for dark matter, in which a positron that is produced at the primary interaction vertex scatters with the electromagnetic calorimeter to produce dark matter particles.
Jinhan Liang, Zuowei Liu, Lan Yang
doaj +2 more sources
S-Channel Dark Matter Simplified Models and Unitarity [PDF]
, 2016 15 ...
Englert, Christoph +2 more
openaire +4 more sources
Recommendations on presenting LHC searches for missing transverse energy signals using simplified s -channel models of dark matter [PDF]
, 2020 © 2019 The Authors This document summarises the proposal of the LHC Dark Matter Working Group on how to present LHC results on s-channel simplified dark matter models and to compare them to direct (indirect) detection ...
Harris, Philip Coleman
core +4 more sources