A method of reconstructing compressive spectral imaging with a complementary prior constraint

Compressed spectral imaging (CSI) is a technique for acquiring a cube of spectral image data in a single snapshot. In this paper, we propose a reconstruction method for the CSI system that integrates complementary prior constraints on spectral data to significantly enhance the accuracy of reconstruc...

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Vydané v:	Optics communications Ročník 550; s. 130010
Hlavní autori:	Wang, Pan, Li, Jie, Qi, Chun, Wang, Lin, Wang, Feng ping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2024
Predmet:	Compressive spectral imaging Convolutional sparse coding Plug-and-Play Plug-and-Play Compressive spectral imaging Convolutional sparse coding
ISSN:	0030-4018, 1873-0310
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