Výsledky vyhľadávania - denoising autoencoder optical images*

Research on Reconstruction Method of Occluded Micro-Expressions Based on Quantized Denoising Autoencoder

Autori: LIU Hui, GUO Te, LIU Dong, LI Yingying

Zdroj: Jisuanji gongcheng, Vol 51, Iss 5, Pp 288-304 (2025)

Predmety: occluded micro-expression recognition, feature reconstruction, optical flow, dynamic image, denoising autoencoder, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Popis súboru: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250529.pdf; https://doaj.org/toc/1000-3428

Prístupová URL adresa: https://doaj.org/article/6dca6ccf5e1149279b8fd4d79d81dcd6

Adversarial Defense for Medical Images.

Autori: Tsai, Min-Jen Lee, Ya-Chu Lien, Hsin-Ying a ďalší

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4384, 46p

Predmety: DEEP learning, AUTOENCODERS, ARTIFICIAL intelligence, MEDICAL photography, SIGNAL denoising, IMAGE quality in imaging systems

Denoising Letter Images from Scanned Invoices Using Stacked Autoencoders.

Autori: Alshathri, Samah Ibrahim Vincent, Desiree Juby Hari, V. S.

Zdroj: Computers, Materials & Continua; 2021, Vol. 71 Issue 1, p1371-1386, 16p

Predmety: IMAGE denoising, SIGNAL-to-noise ratio, OPTICAL character recognition, DEEP learning, INVOICES

Semantic denoising autoencoders for retinal optical coherence tomography

Autori: Boppart, Stephen A. Wojtkowski, Maciej Oh, Wang-Yuhl a ďalší

Témy: Computer-aided diagnosis, Image classication, Image enhancement, Machine learning, BookPart, Text

URL: https://www.repo.uni-hannover.de/handle/123456789/10347
https://doi.org/10.1117/12.2526936
Optical Coherence Imaging Techniques and Imaging in Scattering Media III : 23-27 June 2019, Munich, Germany
Proceedings of SPIE 11078 (2019)
1996-756X
978-1-5106-2850-2
978-1-5106-2849-6
0277-786X
https://doi.org/10.1117/12.2526936

Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework.

Autori: Yang, Songxi Peng, Bo Sui, Tang a ďalší

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2717, 28p

Predmety: FEATURE extraction, AUTOENCODERS, STRUCTURAL health monitoring, URBAN research, EMERGENCY management

The Application of Deep Convolutional Denoising Autoencoder for Optical Character Recognition Preprocessing

Autori: Iwan Njoto Sandjaja Kartika Gunadi Christopher Wiraatmaja

Zdroj: 2017 International Conference on Soft Computing, Intelligent System and Information Technology (ICSIIT). :72-77

Predmety: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8262546
http://xplorestaging.ieee.org/ielx7/8258710/8262523/08262546.pdf?arnumber=8262546

Lightweight CNN-based eye diagrams denoising autoencoder for 16-QAM IsOWC system.

Autori: Suman, Subhash Raut, Subhradeep Mishra, Jitendra K.

Zdroj: Optical Engineering; Oct2025, Vol. 64 Issue 10, p108103-108103, 1p

Offline Urdu Nastaleeq optical character recognition based on stacked denoising autoencoder

Autori: Xiaojie Wang Ibrar Ahmad Ruifan Li a ďalší

Zdroj: China Communications. 14:146-157

Predmety: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: http://ieeexplore.ieee.org/document/7839765/
https://ieeexplore.ieee.org/document/7839765/

Denoising Autoencoder for Reconstructing Sensor Observation Data and Predicting Evapotranspiration: Noisy and Missing Values Repair and Uncertainty Quantification.

Autori: Johnsen, Timothy K. Bi, Xiangyu Chou, Chunwei a ďalší

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Predmety: EVAPOTRANSPIRATION, AUTOENCODERS, STOCHASTIC analysis, MACHINE learning, HYDROLOGICAL forecasting, NOISE control, TELEMETRY

A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province.

Autori: Deng, Shiquan Bai, Ting Chen, Zhe a ďalší

Zdroj: Remote Sensing; Apr2025, Vol. 17 Issue 8, p1396, 18p

Predmety: EXTREME learning machines, ATMOSPHERIC aerosols, GEOSTATIONARY satellites, AUTOENCODERS, SUPPORT vector machines

Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder

Autori: Jia, Peng Li, Xiyu Li, Zhengyang a ďalší

Témy: Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2001.11716

Automatic facial expression recognition under partial occlusion based on motion reconstruction using a denoising autoencoder.

Autori: Kemmou, Abdelaali El Makrani, Adil El Azami, Ikram a ďalší

Zdroj: Indonesian Journal of Electrical Engineering & Computer Science; Apr2024, Vol. 34 Issue 1, p276-289, 14p

Predmety: FACIAL expression, RESEARCH personnel, ROAD safety measures, MOTION

Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon photonic chip.

Autori: Zhou, Jing Zhang, Hui Qiao, Qifeng a ďalší

Zdroj: Nature Communications; 11/26/2024, Vol. 15 Issue 1, p1-12, 12p

Predmety: SIGNAL-to-noise ratio, SPECTROMETERS, PHOTONICS, SILICON, INTERFEROMETERS, IMAGE denoising

Point spread function modelling for wide-field small-aperture telescopes with a denoising autoencoder

Autori: Zhengyang Li Xiyu Li Peng Jia a ďalší

Zdroj: Monthly notices of the Royal Astronomical Society, 2020, Vol.493(1), pp.651-660 [Peer Reviewed Journal]

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Image and Video Processing (eess.IV), 0103 physical sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Image and Video Processing, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), 01 natural sciences, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://dro.dur.ac.uk/30503/1/30503.pdf
http://arxiv.org/abs/2001.11716
http://export.arxiv.org/pdf/2001.11716
https://academic.oup.com/mnras/article/493/1/651/5739828
https://dro.dur.ac.uk/30503/
http://ui.adsabs.harvard.edu/abs/2020MNRAS.493..651J/abstract
https://arxiv.org/abs/2001.11716v1
https://arxiv.org/pdf/2001.11716.pdf

Deep stacked denoising autoencoder for unsupervised anomaly detection in video surveillance.

Autori: Roka, Sanjay Diwakar, Manoj

Zdroj: Journal of Electronic Imaging; May/Jun2023, Vol. 32 Issue 3, p33015-033015-23, 1p

Predmety: VIDEO surveillance, ANOMALY detection (Computer security), IMAGE denoising, OPTICAL flow, CONVOLUTIONAL neural networks, DEEP learning

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images

Autori: Jia Liu Maoguo Gong Kai Qin a ďalší

Predmety: Neurosciences not elsewhere classified, Change detection, deep neural network, denoising autoencoder optical images, synthetic aperture radar images

Relation: 10779/rmit.27514269.v1; https://figshare.com/articles/journal_contribution/A_Deep_Convolutional_Coupling_Network_for_Change_Detection_Based_on_Heterogeneous_Optical_and_Radar_Images/27514269

Dostupnosť: https://figshare.com/articles/journal_contribution/A_Deep_Convolutional_Coupling_Network_for_Change_Detection_Based_on_Heterogeneous_Optical_and_Radar_Images/27514269

Semantic denoising autoencoders for retinal optical coherence tomography

Autori: Laves, Max-Heinrich Ihler, Sontje Kahrs, Lüder Alexander a ďalší

Zdroj: Optical Coherence Imaging Techniques and Imaging in Scattering Media III : 23-27 June 2019, Munich, Germany ; Proceedings of SPIE 11078 (2019)

Predmety: Computer-aided diagnosis, Image classication, Image enhancement, Machine learning, ddc:620, Konferenzschrift

Relation: ESSN:1996-756X; http://dx.doi.org/10.15488/10274

Dostupnosť: https://www.repo.uni-hannover.de/handle/123456789/10347
https://doi.org/10.15488/10274

A Novel Denoising Autoencoder Method for Surface Defect Detection of Screw Products.

Autori: Chen, JW Lin, WJ Hung, CL

Zdroj: Journal of Physics: Conference Series; Sep2023, Vol. 2609 Issue 1, p1-7, 7p

Deep Learning-Based Noise Type Classification and Removal for Drone Image Restoration.

Autori: Ahmed, Waqar Khan, Sajid Noor, Adeeb a ďalší

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2024, Vol. 49 Issue 3, p4287-4306, 20p

Predmety: IMAGE denoising, IMAGE reconstruction, NOISE, DEEP learning

Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning

Autori: Kepp, Timo Sudkamp, Helge von der Burchard, Claus a ďalší

Témy: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2001.08480