Search Results - "multi-modal convolutional sparse coding"
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Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion
ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539Published: United States IEEE 01.10.2021Published in IEEE transactions on pattern analysis and machine intelligence (01.10.2021)“…) and multi-modal image fusion (MIF) problems. Different from other methods based on deep learning, our network architecture is designed by drawing inspirations from a new proposed multi-modal convolutional sparse coding (MCSC) model…”
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Journal Article -
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CU-Net+: Deep Fully Interpretable Network for Multi-Modal Image Restoration
ISSN: 2381-8549Published: IEEE 19.09.2021Published in Proceedings - International Conference on Image Processing (19.09.2021)“… For multi-modal image restoration, one recent method, CU-Net, introduces an interpretable network based on a multi-modal convolutional sparse coding model…”
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Conference Proceeding -
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l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 07.11.2024Published in arXiv.org (07.11.2024)“… FNet, based on an l0-regularized multi-modal convolutional sparse coding (MCSC) model. Specifically, for solving the l0-regularized CSC problem, we develop an algorithm unrolling-based l0-regularized sparse coding…”
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Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution
ISSN: 2381-8549Published: IEEE 01.09.2019Published in Proceedings - International Conference on Image Processing (01.09.2019)“…The success of deep learning in various tasks, including solving inverse problems, has triggered the need for designing deep neural networks that incorporate…”
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Conference Proceeding -
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Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion
ISSN: 2331-8422Published: Ithaca Cornell University Library, arXiv.org 09.10.2019Published in arXiv.org (09.10.2019)“…) and multi-modal image fusion (MIF) problems. Different from other methods based on deep learning, our network architecture is designed by drawing inspirations from a new proposed multi-modal convolutional sparse coding (MCSC) model…”
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Paper -
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Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors
ISSN: 2381-8549Published: IEEE 01.10.2020Published in Proceedings - International Conference on Image Processing (01.10.2020)“… Our network fuses representations of the two image modalities at input layers using a learned multimodal convolutional sparse coding network…”
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Conference Proceeding