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Time‐Dependent Oxidation and Scale Evolution of a Wrought Co/Ni‐Based Superalloy
Advanced Engineering Materials, EarlyView.This study shows how a new wrought Co/Ni‐based superalloy resists oxidation at 800 ∘$^\circ$C. The oxide scale changes from rough, fast‐growing spinel to a dense, protective chromia–alumina layer. Atom probe analysis reveals tiny refractory‐rich bubbles at the interface that mark the transition to long‐term, diffusion‐controlled protection ...
Cameron Crabb +6 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich +3 more
wiley +1 more source
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Benchmarking Low-Light Image Enhancement and Beyond
International Journal of Computer Vision, 2021In this paper, we present a systematic review and evaluation of existing single-image low-light enhancement algorithms. Besides the commonly used low-level vision oriented evaluations, we additionally consider measuring machine vision performance in the low-light condition via face detection task to explore the potential of joint optimization of high ...
Jiaying Liu, Wenhan Yang, Dejia Xu
exaly +2 more sources
Polarization-Aware Low-Light Image Enhancement
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Polarization-based vision algorithms have found uses in various applications since polarization provides additional physical constraints. However, in low-light conditions, their performance would be severely degenerated since the captured polarized images could be noisy, leading to noticeable degradation in the degree of polarization (DoP) and the ...
Chu Zhou +5 more
openaire +1 more source
Semantically-guided low-light image enhancement
Pattern Recognition Letters, 2020Abstract Recently, extensive research efforts have been made on low-light image enhancement. Many novel models have been proposed, such as the ones based on the Retinex theory, multiple exposure fusion, and deep neural networks. However, current models do not directly consider the semantic information in the modeling process.
Junyi Xie +5 more
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Image enhancement for extremely low light conditions
2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014In this paper, a novel methodology is proposed for contrast enhancement and noise reduction in very noisy data with low dynamic range on images captured by surveillance camera under extremely low light condition. For the initial noise reduction, a motion adaptive temporal filtering based on the Kalman filter is employed.
Dubok Park +4 more
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Lightening Network for Low-Light Image Enhancement
IEEE Transactions on Image Processing, 2020Low-light image enhancement is a challenging task that has attracted considerable attention. Pictures taken in low-light conditions often have bad visual quality. To address the problem, we regard the low-light enhancement as a residual learning problem that is to estimate the residual between low- and normal-light images.
Li-Wen Wang +3 more
openaire +2 more sources
Low-Light Stereo Image Enhancement
IEEE Transactions on Multimedia, 2023Jie Huang 0017 +4 more
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Semi-Supervised Learning for Low-Light Image Enhancement by Pseudo Low-Light Image
2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2023Shuo Xie +4 more
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A Variational Model for Nonuniform Low-Light Image Enhancement
SIAM Journal on Imaging ScienceszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Jia 0007 +3 more
openaire +2 more sources