79 citations · 104 across the 6 of their papers we have counts for
6 papers
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors
Xiuheng Wang, Jie Chen, Cédric Richard
Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images~(HSI) generated by the acquisition devices. This issue is usually add…
Deep Hyperspectral and Multispectral Image Fusion with Inter-image Variability
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard +1
Hyperspectral and multispectral image fusion allows us to overcome the hardware limitations of hyperspectral imaging systems inherent to their lower spatial resolution. Nevertheles…
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing
Jie Chen, Min Zhao, Xiuheng Wang +2
Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing. Conventional physics-based models are characterized by clear interpreta…
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
Xiuheng Wang, Jie Chen, Cédric Richard
To overcome inherent hardware limitations of hyperspectral imaging systems with respect to their spatial resolution, fusion-based hyperspectral image (HSI) super-resolution is attr…
A Plug-and-Play Priors Framework for Hyperspectral Unmixing
Min zhao, Xiuheng Wang, Jie Chen +1
Spectral unmixing is a widely used technique in hyperspectral image processing and analysis. It aims to separate mixed pixels into the component materials and their corresponding a…
Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation
Xiuheng Wang, Jie Chen, Qi Wei +1
Hyperspectral image (HSI) super-resolution is commonly used to overcome the hardware limitations of existing hyperspectral imaging systems on spatial resolution. It fuses a low-res…