4 papers · 1 filter
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
Muge Yan, Lizhi Wang, Lin Zhu +1
Deep priors have emerged as potent methods in hyperspectral image (HSI) reconstruction. While most methods emphasize space-domain learning using image space priors like non-local s…
Physics-Inspired Degradation Models for Hyperspectral Image Fusion
Jie Lian, Lizhi Wang, Lin Zhu +3
The fusion of a low-spatial-resolution hyperspectral image (LR-HSI) with a high-spatial-resolution multispectral image (HR-MSI) has garnered increasing research interest. However,…
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
Xin Wang, Lizhi Wang, Xiangtian Ma +3
Dual-Camera Compressed Hyperspectral Imaging (DCCHI) offers the capability to reconstruct 3D Hyperspectral Image (HSI) by fusing compressive and Panchromatic (PAN) image, which has…
Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoising
Hansen Feng, Lizhi Wang, Yiqi Huang +3
Recently, the mainstream practice for training low-light raw image denoising methods has shifted towards employing synthetic data. Noise modeling, which focuses on characterizing t…