5 papers
RobustSCI: Beyond Reconstruction to Restoration for Snapshot Compressive Imaging under Real-World Degradations
Hao Wang, Zhankuo Xu, Jiong Ni +3
Deep learning algorithms for video Snapshot Compressive Imaging (SCI) have achieved great success, yet they predominantly focus on reconstructing from clean measurements. This over…
Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
Miao Cao, Siming Zheng, Lishun Wang +3
Digital cameras consume ~0.1 microjoule per pixel to capture and encode video, resulting in a power usage of ~20W for a 4K sensor operating at 30 fps. Imagining gigapixel cameras o…
Towards Real-time Video Compressive Sensing on Mobile Devices
Miao Cao, Lishun Wang, Huan Wang +2
Video Snapshot Compressive Imaging (SCI) uses a low-speed 2D camera to capture high-speed scenes as snapshot compressed measurements, followed by a reconstruction algorithm to retr…
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging
Miao Cao, Lishun Wang, Huan Wang +1
Video Snapshot Compressive Imaging (SCI) aims to use a low-speed 2D camera to capture high-speed scene as snapshot compressed measurements, followed by a reconstruction algorithm t…
Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
Jincheng Yang, Lishun Wang, Miao Cao +3
We study the inverse problem of Coded Aperture Snapshot Spectral Imaging (CASSI), which captures a spatial-spectral data cube using snapshot 2D measurements and uses algorithms to…