Výsledky vyhledávání - "JIN Chengqian"

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MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging

Autor: Cai, Zeyu, Zhang, Can, Chen, Xunhao, Liu, Shanghuan, Jin, Chengqian, Da, Feipeng

Coded Aperture Snapshot Spectral Imaging (CASSI) system has great advantages over traditional methods in dynamically acquiring Hyper-Spectral Image (HSI), but there are the following problems. 1) Traditional mask relies on random patterns or analytic

Externí odkaz: http://arxiv.org/abs/2310.08002

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DMDC: Dynamic-mask-based dual camera design for snapshot Hyperspectral Imaging

Autor: Cai, Zeyu, Jin, Chengqian, Da, Feipeng

Deep learning methods are developing rapidly in coded aperture snapshot spectral imaging (CASSI). The number of parameters and FLOPs of existing state-of-the-art methods (SOTA) continues to increase, but the reconstruction accuracy improves slowly. C

Externí odkaz: http://arxiv.org/abs/2308.01541

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SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction

Autor: Cai, Zeyu, Yu, Jian, Zhang, Ziyu, Jin, Chengqian, Da, Feipeng

Spectral image reconstruction is an important task in snapshot compressed imaging. This paper aims to propose a new end-to-end framework with iterative capabilities similar to a deep unfolding network to improve reconstruction accuracy, independent o

Externí odkaz: http://arxiv.org/abs/2305.04054

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