Cargando…

Adversarial Resolution Enhancement for Electrical Capacitance Tomography Image Reconstruction

High-quality image reconstruction is essential for many electrical capacitance tomography (CT) applications. Raw capacitance measurements are used in the literature to generate low-resolution images. However, such low-resolution images are not sufficient for proper functionality of most systems. In...

Descripción completa

Detalles Bibliográficos
Autores principales:	Deabes, Wael, Abdel-Hakim, Alaa E., Bouazza, Kheir Eddine, Althobaiti, Hassan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105104/ https://www.ncbi.nlm.nih.gov/pubmed/35590832 http://dx.doi.org/10.3390/s22093142

Ejemplares similares

Smart Petri Nets Temperature Control Framework for Reducing Building Energy Consumption
por: Bouazza, Kheir Eddine, et al.
Publicado: (2019)

Smart Fuzzy Petri Net-Based Temperature Control Framework for Reducing Building Energy Consumption
por: Deabes, Wael, et al.
Publicado: (2023)

On the Image Reconstruction of Capacitively Coupled Electrical Resistance Tomography (CCERT) with Entropy Priors
por: Su, Zenglan, et al.
Publicado: (2023)

An Image Reconstruction Algorithm for Electrical Capacitance Tomography Based on Robust Principle Component Analysis
por: Lei, Jing, et al.
Publicado: (2013)

A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography
por: Zheng, Jin, et al.
Publicado: (2018)

Adaptive Selection of Truncation Radius in Calderon’s Method for Direct Image Reconstruction in Electrical Capacitance Tomography †
por: Sun, Shijie, et al.
Publicado: (2019)

Super-Resolution Reconstruction of Terahertz Images Based on Residual Generative Adversarial Network with Enhanced Attention
por: Hou, Zhongwei, et al.
Publicado: (2023)

Electrical Capacitance Volume Tomography: Design and Applications
por: Wang, Fei, et al.
Publicado: (2010)

Application of a Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography
por: Yang, Dan, et al.
Publicado: (2021)

Improved Generative Adversarial Network for Super-Resolution Reconstruction of Coal Photomicrographs
por: Zou, Liang, et al.
Publicado: (2023)

Multi-GPU, Multi-Node Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System †
por: Majchrowicz, Michał, et al.
Publicado: (2020)

Super-Resolution Reconstruction Method of Pavement Crack Images Based on an Improved Generative Adversarial Network
por: Yuan, Bo, et al.
Publicado: (2022)

3D-Printed Multilayer Sensor Structure for Electrical Capacitance Tomography
por: Kowalska, Aleksandra, et al.
Publicado: (2019)

Adversarial example defense based on image reconstruction
por: Zhang, Yu(AUST), et al.
Publicado: (2021)

Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy
por: Alam, Md. Shahinur, et al.
Publicado: (2021)

On the Performance of a Capacitively Coupled Electrical Impedance Tomography Sensor with Different Configurations
por: Jiang, Yandan, et al.
Publicado: (2020)

Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma
por: Sreejith Kumar, Ashish Jith, et al.
Publicado: (2022)

3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution
por: Zhang, Hongtao, et al.
Publicado: (2021)

Resolution enhancement of electrical resistance tomography by iterative back projection method
por: Ichijo, Noriaki, et al.
Publicado: (2015)

An Oil Fraction Neural Sensor Developed Using Electrical capacitance Tomography Sensor Data
por: Zainal-Mokhtar, Khursiah, et al.
Publicado: (2013)

Artificial Intelligence (Enhanced Super-Resolution Generative Adversarial Network) for Calcium Deblooming in Coronary Computed Tomography Angiography: A Feasibility Study
por: Sun, Zhonghua, et al.
Publicado: (2022)

Enhancing Sharp Features by Locally Relaxing Regularization for Reconstructed Images in Electrical Impedance Tomography
por: Ranade, Nanda V., et al.
Publicado: (2019)

Super Resolution Generative Adversarial Network (SRGANs) for Wheat Stripe Rust Classification
por: Maqsood, Muhammad Hassan, et al.
Publicado: (2021)

Invertible Privacy-Preserving Adversarial Reconstruction for Image Compressed Sensing
por: Xiao, Di, et al.
Publicado: (2023)

Improving Image Super-Resolution Based on Multiscale Generative Adversarial Networks
por: Yuan, Cao, et al.
Publicado: (2022)

A new generative adversarial network for medical images super resolution
por: Ahmad, Waqar, et al.
Publicado: (2022)

Sandblasting improves the performance of electrodes of miniature electrical impedance tomography via double layer capacitance
por: Gatabi, Zahra Rezanejad, et al.
Publicado: (2020)

An Input-Perceptual Reconstruction Adversarial Network for Paired Image-to-Image Conversion
por: Khan, Aamir, et al.
Publicado: (2020)

Tomographic reconstruction with a generative adversarial network
por: Yang, Xiaogang, et al.
Publicado: (2020)

Dataset for the electric capacitated traveling salesman problem
por: Gialos, Anastasios, et al.
Publicado: (2023)

Improvement of Flow Velocity Measurement Algorithms Based on Correlation Function and Twin Plane Electrical Capacitance Tomography
por: Mosorov, Volodymyr, et al.
Publicado: (2020)

System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
por: Hosseini, Marzieh, et al.
Publicado: (2021)

DeepHiC: A generative adversarial network for enhancing Hi-C data resolution
por: Hong, Hao, et al.
Publicado: (2020)

Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test
por: Park, Ho Young, et al.
Publicado: (2021)

Advances of deep learning in electrical impedance tomography image reconstruction
por: Zhang, Tao, et al.
Publicado: (2022)

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography
por: Sun, Zhonghua, et al.
Publicado: (2022)

An Adversarial Learning Approach for Super-Resolution Enhancement Based on AgCl@Ag Nanoparticles in Scanning Electron Microscopy Images
por: Fan, Li, et al.
Publicado: (2021)

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
por: Ravì, Daniele, et al.
Publicado: (2019)

Reconstructing missing complex networks against adversarial interventions
por: Xue, Yuankun, et al.
Publicado: (2019)

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution
por: Huang, Chi-En, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_28eb1rmgd9a9mkflqsqaioouhf