LCTC: Lightweight Convolutional Thresholding Sparse Coding Network Prior for Compressive Hyperspectral Imaging

Compressive spectral imaging has garnered significant attention for its ability to effectively enhance the captured spatial and spectral information. Predominant methods, based on compressive sensing, typically formulate the imaging task as a constrained optimization problem and rely on hand-crafted...

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Vydané v:	IEEE transactions on image processing Ročník 34; s. 1
Hlavní autori:	Chen, Yurong, Wang, Yaonan, Wang, Xiaodong, Yuan, Xin, Zhang, Hui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Apertures Coding Compressibility Compressive Sensing Computational Imaging Convolution Convolutional codes Hyperspectral imaging Image coding Image reconstruction Imaging Inverse Problem Optimization Regularization Self-supervised learning Sparsity Training Transforms
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
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