Výsledky vyhledávání - Multimodal image coding

Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion

Autoři: Veshki, Farshad G. Vorobyov Sergiy, A. a další

Přispěvatelé: Veshki, Farshad G. Vorobyov Sergiy, A. a další

Zdroj: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :2500-2504

Témata: 03 medical and health sciences, Multimodal image fusion, 0302 clinical medicine, ta213, structured dictionary learning, 0202 electrical engineering, electronic engineering, information engineering, convolutional sparse coding, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://aaltodoc.aalto.fi/handle/123456789/117820

Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution

Autoři: Kriti Kumar Angshul Majumdar A. Anil Kumar a další

Zdroj: IEEE Sensors Letters. 8:1-4

JOINT CODING OF MULTIMODAL BIOMEDICAL IMAGES US ING CONVOLUTIONAL NEURAL NETWORKS

Autoři: Parracho, João Oliveira Assunção, Pedro António Amado Távora, Luís Miguel de Oliveira Pegado de Noronha e a další

Přispěvatelé: Parracho, João Oliveira Assunção, Pedro António Amado Távora, Luís Miguel de Oliveira Pegado de Noronha e a další

Zdroj: urn:tid:202942058

Témata: Computerized tomography, Positron emission tomography, Lossless compression, Generative Adversarial Network, Image-to-image translation, Medical Image Coding

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10400.8/6682

Enhanced Residue Prediction for Lossless Coding of Multimodal Image Pairs Based on Image-to-Image Translation

Autoři: Daniel S. Nicolau Joao O. Parracho Lucas A. Thomaz a další

Zdroj: 2023 11th European Workshop on Visual Information Processing (EUVIP). 27:1-6

Multimodal image enhancement using convolutional sparse coding

Autoři: Awais Ahmed She Kun Junaid Ahmed a další

Zdroj: Multimedia Systems. 29:2099-2110

Lossless Coding of Multimodal Image Pairs Based on Image-To-Image Translation

Autoři: Joao O. Parracho Lucas A. Thomaz Luis M. N. Tavora a další

Zdroj: 2022 10th European Workshop on Visual Information Processing (EUVIP). :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Lossy Image Compression in a Preclinical Multimodal Imaging Study

Autoři: Francisco F. Cunha Valentin Blüml Lydia M. Zopf a další

Zdroj: J Digit Imaging

Témata: Image segmentation, Original Paper, Image coding, X-Ray Microtomography, Data Compression, Magnetic Resonance Imaging, Multimodal Imaging, Mice, Biomedical imaging, Neoplasms, Performance evaluation, Image Processing, Computer-Assisted, Humans, Animals

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37038039
https://hdl.handle.net/10316/112216

Jump: A Joint Multimodal Registration Pipeline for Neuroimaging with Minimal Preprocessing

Autoři: Casamitjana Díaz, Adrià Iglesias, Juan Eugenio Tudela, Raúl a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Neurodegenerative diseases, Pipeline codes, Computer Science - Computer Vision and Pattern Recognition, Image coding, Neuroimaging, Alzheimer's disease, Pre-processing, State of the art, Alzheimers disease, Amyloid PET, Multi-modal, Image modality, Multimodal registration, Resting-state fMRI, Resting state, Hyper-parameter, resting-state fMRI, Image registration

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2401.14250

Multimodal Image Super-resolution via Deep Unfolding with Side Information

Autoři: Marivani, Iman Tsiligianni, Evangelia Cornelis, Bruno a další

Přispěvatelé: Marivani, Iman Tsiligianni, Evangelia Cornelis, Bruno a další

Zdroj: 2019 27th European Signal Processing Conference (EUSIPCO). :1-5

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, multimodal deep learning, sparse coding, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG), Image super-resolution, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, designing neural networks

Přístupová URL adresa: http://arxiv.org/pdf/1910.08320
http://arxiv.org/abs/1910.08320
https://researchportal.vub.be/en/publications/multimodal-image-super-resolution-via-deep-unfolding-with-side-in
http://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08320
https://www.arxiv-vanity.com/papers/1910.08320/
https://arxiv.org/abs/1910.08320
http://arxiv.org/pdf/1910.08320.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1910.html#abs-1910-08320
https://biblio.vub.ac.be/vubir/multimodal-image-superresolution-via-deep-unfolding-with-side-information(52e14d6b-b73a-40fc-8172-c64b3e4b386c).html
https://hdl.handle.net/20.500.14017/52e14d6b-b73a-40fc-8172-c64b3e4b386c
https://doi.org/10.23919/eusipco.2019.8903106

Enhancing Learning-Based Cross-Modality Prediction for Lossless Medical Imaging Compression

Autoři: Daniel S. Nicolau Lucas A. Thomaz Luis M. N. Tavora a další

Zdroj: IEEE Open Journal of Signal Processing, Vol 6, Pp 489-497 (2025)

Témata: learning-based prediction, Electrical engineering. Electronics. Nuclear engineering, Generative predictive coding, lossless image coding, multimodal medical imaging, versatile video coding, TK1-9971

Přístupová URL adresa: https://doaj.org/article/e64498c377cd4e20a819cdc07d8a6fc1

Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs

Autoři: Liu, Jinming Wei, Yuntao Lin, Junyan a další

Zdroj: 2024 IEEE International Conference on Visual Communications and Image Processing (VCIP). :1-5

Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Přístupová URL adresa: http://arxiv.org/abs/2408.08575

An advanced multimodal image fusion model for accurate detection of Alzheimer's disease using MRI and PET

Autoři: Arshiya S. Ansari Mohammad Sajid Mohammadi Carlo Cattani a další

Zdroj: Frontiers in Medical Technology, Vol 7 (2025)

Témata: Alzheimer’s disease (AD), multimodal image fusion, magnetic resonance imaging (MRI), Glowworm Swarm-Optimized Spatial Multimodal Attention-Enriched Convolutional Neural Network (GWS-SMAtt-ECNN), positron emission tomography (PET), Medical technology, R855-855.5

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmedt.2025.1699821/full; https://doaj.org/toc/2673-3129

Přístupová URL adresa: https://doaj.org/article/43d9eeca46914ab2a0c8a5b7b2518bb4

A Systematic Literature Review on Multimodal Image Fusion Models with Challenges and Future Research Trends.

Autoři: Ravi, Jampani Narmadha, R.

Zdroj: International Journal of Image & Graphics; Jul2025, Vol. 25 Issue 4, p1-33, 33p

Témata: IMAGE fusion, REMOTE sensing, IMAGE processing, DEEP learning, VISIBLE spectra

Motion imagery classification based on multimodal image coding

Autoři: Shi, Peng Xi, Yang Meng, Tianyu a další

Přispěvatelé: Shi, Peng Xi, Yang Meng, Tianyu a další

Zdroj: Fifth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2025) ; page 142

Dostupnost: https://doi.org/10.1117/12.3095774

Multimodal Image Fusion in Presence of Noise Using Sparse Coding of ICA Coefficients

Autoři: N. Cvejic Dejan Drajic

Zdroj: 2007 IEEE International Symposium on Signal Processing and Information Technology. :343-346

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004458168

Convolutional Sparse Modular Fusion Algorithm for Non-Rigid Registration of Visible–Infrared Images

Autoři: Tao Luo Ning Chen Xianyou Zhu a další

Zdroj: Applied Sciences ; Volume 15 ; Issue 5 ; Pages: 2508

Témata: multimodal image fusion, convolutional sparse coding, image registration, feature extraction

Geografické téma: agris

Popis souboru: application/pdf

Relation: https://dx.doi.org/10.3390/app15052508

Dostupnost: https://doi.org/10.3390/app15052508

Generic wavelet‐based image decomposition and reconstruction framework for multi‐modal data analysis in smart camera applications

Autoři: Yijun Yan Yiguang Liu Mingqiang Yang a další

Zdroj: IET Computer Vision, Vol 14, Iss 7, Pp 471-479 (2020)

Témata: Hyperspectral imaging, Image compression, Multimodal data analysis, discrete wavelet filtering banks, 0211 other engineering and technologies, Image sensors, Colour image decomposition, Multispectral imagery, 02 engineering and technology, Camera network applications, Channel bank filters, 0202 electrical engineering, electronic engineering, information engineering, Computer software, generated filtering bank, image reconstruction framework, Cameras, name=Software, Optimisation process, Hyperspectral imagery, Image reconstruction, Intelligent sensors, smart camera applications, Multimodal data acquisition, Multimodal data reconstruction, Image classification, Computer applications to medicine. Medical informatics, Data analysis, R858-859.7, QA76.75-76.765, multimodal data analysis, Image reconstruction framework, Generated filtering bank, Generic wavelet-based image decomposition, Optimisation, Reconstruction filters, Discrete wavelet filtering banks, Unified framework, Smart camera applications, Wavelet-based coding, Image coding, Discrete wavelet transforms, Hyperspectral image classification, wavelet‐based coding, Image filtering, Decomposition filters, name=Computer Vision and Pattern Recognition

Přístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cvi.2019.0780
https://doaj.org/article/517f63c0c1aa4adbb6ad41650953a6c9
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cvi.2019.0780
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cvi.2019.0780
https://dblp.uni-trier.de/db/journals/iet-cvi/iet-cvi14.html#YanLYZCR20
https://rgu-repository.worktribe.com/output/1474880/generic-waveletbased-image-decomposition-and-reconstruction-framework-for-multimodal-data-analysis-in-smart-camera-applications
https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2019.0780
https://rgu-repository.worktribe.com/output/1474880

Optimising Multimodal Image Registration Techniques: A Comprehensive Study of Non-Rigid and Affine Methods for PET/CT Integration.

Autoři: Ali, Babar Alqahtani, Mansour M. Alkhybari, Essam M. a další

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2484, 15p

Témata: IMAGE registration, POSITRON emission tomography computed tomography, AFFINE transformations, COMPUTER-assisted image analysis (Medicine), IMAGE enhancement (Imaging systems), IMAGE fusion, STATISTICAL measurement

Exploring graphic pathographies construction: a multimodal analysis

Autoři: Santamaría Martínez, Mezteli Suyapa

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Traducció i Ciències del llenguatge

Thesis Advisors: Cassany, Daniel

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Graphic pathographies construction, Autografías médicas visuales

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/687973

Multimodal image enhancement using convolutional sparse coding.

Autoři: Ahmed, Awais Kun, She Ahmed, Junaid a další

Zdroj: Multimedia Systems; Aug2023, Vol. 29 Issue 4, p2099-2110, 12p

Témata: IMAGE intensifiers, WAVELET transforms, MACHINE learning, HIGH resolution imaging, MULTISPECTRAL imaging