Suchergebnisse - multi-modal convolutional sparse coding

Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion von Deng, Xin, Dragotti, Pier Luigi

“… ) 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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Interpretable Multi-modal Image Registration Network Based on Disentangled Convolutional Sparse Coding von Deng, Xin, Liu, Enpeng, Li, Shengxi, Duan, Yiping, Xu, Mai

“… In this paper, we first model the multi-modal image registration problem as a disentangled convolutional sparse coding (DCSC) model …”
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Multimodal image enhancement using convolutional sparse coding von Ahmed, Awais, Kun, She, Ahmed, Junaid, Hayat, Shaukat, Khan, Abdullah Aman

“… Using sparse and redundant representations, the proposed approach helps capture intrinsic multispectral features using wavelet domain learning utilizing the up-sampling property of (SWT …”
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Coupled Feature Learning Via Structured Convolutional Sparse Coding for Multimodal Image Fusion von Veshki, Farshad G., Vorobyov, Sergiy A.

“… A novel method for learning correlated features in multimodal images based on convolutional sparse coding with applications to image fusion is presented …”
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Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution von Marivani, Iman, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“… -resolution image of another modality. The proposed architecture is based on a novel deep learning model, obtained by unfolding a proximal method that solves the problem of convolutional sparse coding with side information …”
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Convolutional Analysis Sparse Coding for Multimodal Image Super-Resolution von Kumar, Kriti, Majumdar, Angshul, Kumar, A. Anil, Chandra, M. Girish

“… in data-limited scenarios. The proposed work presents a convolutional analysis sparse coding-based method, employing convolutional transforms that eliminate the need for learning the decoder …”
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MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration von Wen, Kaiang, Xie, Bin, Duan, Bin, Yan, Yan

“… Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge in deformable image registration …”
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CU-Net+: Deep Fully Interpretable Network for Multi-Modal Image Restoration von Xu, Jingyi, Deng, Xin, Xu, Mai, Dragotti, Pier Luigi

“… 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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Multi-Modal Convolutional Dictionary Learning von Gao, Fangyuan, Deng, Xin, Xu, Mai, Xu, Jingyi, Dragotti, Pier Luigi

“… In this paper, we propose a novel multi-modal convolutional dictionary learning algorithm, which efficiently correlates different image modalities and fully considers neighborhood information at the image level …”
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Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors von Marivani, Iman, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“… Our network fuses representations of the two image modalities at input layers using a learned multimodal convolutional sparse coding network …”
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A Novel Fusion Method Based on Online Convolutional Sparse Coding with Sample-Dependent Dictionary for Visible–Infrared Images von Li, Haoyue, Zhang, Chengfang, He, Sidi, Feng, Ziliang, Yi, Liangzhong

“… Online convolutional sparse coding (OCSC) alleviates the disadvantages of large computation and low representation rate of convolutional sparse coding (CSC …”
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MDSC-Net: Multi-Modal Discriminative Sparse Coding Driven RGB-D Classification Network von Xu, Jingyi, Deng, Xin, Fu, Yibing, Xu, Mai, Li, Shengxi

“… Different from existing classification networks, our network architecture is designed by drawing inspirations from a new proposed multi-modal discriminative sparse coding (MDSC) model …”
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Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding von Huang, Yawen, Shao, Ling, Frangi, Alejandro F.

“… We propose the weakly-supervised joint convolutional sparse coding to simultaneously solve the problems of super-resolution (SR …”
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l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion von Panda, Gargi, Kundu, Soumitra, Bhattacharya, Saumik, Routray, Aurobinda

“… 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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Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion von Deng, Xin, Dragotti, Pier Luigi

“… ) 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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Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers von Marivani, Iman, Tsiligianni, Evaggelia, Cornelis, Bruno, Deligiannis, Nikos

“… Multimodal, alias, guided, image restoration is the reconstruction of a degraded image from a target modality with the aid of a high quality image from another modality …”
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Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning von Kumar, Kriti, Majumdar, Angshul, Kumar, A Anil, Chandra, M Girish

“… This work proposes a novel deep convolutional analysis sparse coding method, utilizing convolutional transforms within a fusion framework that eliminates the need for a decoder network …”
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Multimodal Image Fusion Based on a Convolutional Elastic Network von Zhang, Chengfang, Yan, Dan, Yi, Liangzhong, Pei, Zheng

“… coding and propose a multimodal image fusion framework based on a convolutional elastic network to address the abovementioned drawbacks …”
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A Survey of Multi-View Representation Learning von Li, Yingming, Yang, Ming, Zhang, Zhongfei

“… the advancement of multi-view representation learning that ranges from generative methods including multi-modal topic learning …”
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Convolutional Sparse Modular Fusion Algorithm for Non-Rigid Registration of Visible–Infrared Images von Luo, Tao, Chen, Ning, Zhu, Xianyou, Yi, Heyuan, Duan, Weiwen

“… of engineering applications. To tackle this challenge, this study proposes a comprehensive framework for convolutional sparse fusion in the context of non-rigid registration of visible–infrared images …”
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