Video Compressive Sensing for Spatial Multiplexing Cameras Using Motion-Flow Models
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Publication:5230426
DOI10.1137/140983124zbMath1429.94023arXiv1503.02727OpenAlexW1935101545MaRDI QIDQ5230426
Lina Xu, Aswin C. Sankaranarayanan, Christoph Studer, Richard G. Baraniuk, Yun Li, Kevin F. Kelly
Publication date: 22 August 2019
Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1503.02727
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)
Cites Work
- Unnamed Item
- The restricted isometry property and its implications for compressed sensing
- An algorithm for total variation minimization and applications
- Determining optical flow
- Compressive Acquisition of Linear Dynamical Systems
- Block-Based Compressed Sensing of Images and Video
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support
- Video Compressive Sensing Using Gaussian Mixture Models
- The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video
- Coupled Dictionary Training for Image Super-Resolution
- An Iterative Regularization Method for Total Variation-Based Image Restoration
- Compressed sensing
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