Compressive Hyperspectral Imaging Reconstruction by Spatial and Spectral Joint Prior
Author:
Affiliation:
1. School of Information Science and Engineering, Shaoguan University, Shaoguan, Guangdong, China
2. School of physics and mechanics, Shaoguan University, Shaoguan, Guangdong, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3232116.3232138
Reference9 articles.
1. M. Gehm R. John D. Brady R. Willett and T. Schulz. 2007. Single-shot compressive spectral imaging with a dual-disperser architecture. Optics Express 15 21(Oct. 2007) 14 013--14 027. M. Gehm R. John D. Brady R. Willett and T. Schulz. 2007. Single-shot compressive spectral imaging with a dual-disperser architecture. Optics Express 15 21(Oct. 2007) 14 013--14 027.
2. T. Sun and K. Kelly.2009.Compressive sensing hyperspectral imager. Frontiers in Optics 2009/Laser Science XXV/Fall2009 OSA Optics & Photonics Technical Digest p. CTuA5. T. Sun and K. Kelly.2009.Compressive sensing hyperspectral imager. Frontiers in Optics 2009/Laser Science XXV/Fall2009 OSA Optics & Photonics Technical Digest p. CTuA5.
3. Spatial-spectral encoded compressive hyperspectral imaging
4. P. Meza I. Ortiz E. Vera and J. Martinez. 2018. Compressive hyperspectral imaging recovery by spatial-spectral non-local means regularization. Optics Express 26 6 (Mar. 2018) 7043--7055. P. Meza I. Ortiz E. Vera and J. Martinez. 2018. Compressive hyperspectral imaging recovery by spatial-spectral non-local means regularization. Optics Express 26 6 (Mar. 2018) 7043--7055.
5. Reconstructing hyperspectral images from compressive sensors via exploiting multiple priors;Yingbiao Jia;Spectroscopy Letters.,2015
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