Results 241 to 250 of about 23,389,624 (289)

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Impact of MgO Additions on the Oxidation Resistance and Compression Behavior of Vanadium Alloys

Advanced Engineering Materials, EarlyView.
An increase in oxidation resistance at 600 °C is achieved for alloys containing more than 2.5 wt.% MgO. It has been established that, along with V2O5, MgO6V2, and Mg2O7V2 are formed, which are presumed to enhance oxidative stability. Furthermore, the possible transformation of Mg‐vanadates through reaction with CO2, which presumably occurs in this ...
Ievgen Solodkyi, Mathias Galetz, Georg Hasemann, Fabian Lanoy, Emma White, Manja Krüger   +5 more
wiley   +1 more source

Distinct Microstructural Characteristic Lengths Defining Notch Fatigue Crack Initiation and Propagation, and Defect Tolerance in Advanced Steels

Advanced Engineering Materials, EarlyView.
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley   +1 more source

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Benchmarking Low-Light Image Enhancement and Beyond

International Journal of Computer Vision, 2021
In 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   +3 more sources

Lightening Network for Low-Light Image Enhancement

IEEE Transactions on Image Processing, 2020
Low-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, Zhi-Song Liu, Wan-Chi Siu, Daniel Pak-Kong Lun   +3 more
openaire   +2 more sources

Polarization-Aware Low-Light Image Enhancement

Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Polarization-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, Minggui Teng, Youwei Lyu, Si Li 0001, Chao Xu 0006, Boxin Shi   +5 more
openaire   +1 more source

Image enhancement for extremely low light conditions

2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2014
In 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, Minjae Kim, Bonhwa Ku, Sangmin Yoon, David K. Han   +4 more
openaire   +2 more sources

Semantically-guided low-light image enhancement

Pattern Recognition Letters, 2020
Abstract 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, Hao Bian, Yuanhang Wu, Yu Zhao, Linmin Shan, Shijie Hao   +5 more
openaire   +2 more sources

Low-Light Stereo Image Enhancement

IEEE Transactions on Multimedia, 2023
Jie Huang 0017, Xueyang Fu, Zeyu Xiao 0002, Feng Zhao 0004, Zhiwei Xiong   +4 more
openaire   +2 more sources

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), 2023
Shuo Xie, Yingjie Ma, Wei Xu, Song Qiu, Yifei Sun   +4 more
openaire   +1 more source