Generalized alternating projection based total variation minimization for compressive sensing
By Xin Yuan. International Conference on Information Photonics, 2015
393 citations recorded by the source corpus.
We consider the total variation (TV) minimization problem used for compressive sensing and solve it using the generalized alternating projection (GAP) algorithm. Extensive results demonstrate the high performance of proposed algorithm on compressive sensing, including two dimensional images, hyperspectral images and videos. We further derive the Alternating Direction Method of Multipliers (ADMM) framework with TV minimization for video and hyperspectral image compressive sensing under the CACTI and CASSI framework, respectively. Connections between GAP and ADMM are also provided.
Subfields: Biomedical Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/aed3a9333d5867242ed438c3329cd93b51b5f76d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Aggelos K. Katsaggelos
- David J. Brady
- Xin Yuan
- Luc Van Gool
- Yulun Zhang
- Radu Timofte
- Jing Lin
- Haoqian Wang
In Computational Mechanics
- Radu Timofte
- Luc Van Gool
- Aggelos K. Katsaggelos
- David J. Brady
- Xin Yuan
- Yulun Zhang
- Jing Lin
- Haoqian Wang
Citations in the corpus
- Rank Minimization for Snapshot Compressive Imaging (2018, methodology): “Right: Our reconstruction result and that of the GAP-TV method [17] are shown for comparison in the upper part.”
- Snapshot Compressive Imaging: Theory, Algorithms, and Applications (2021, methodology): “, GAP-TV [31] and two-step iterative shrinkage/thresholding [30]) and shallow learning algorithms (e.”
- MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction (2022, background): “One way to solve this problem is to develop snapshot compressive imaging (SCI) systems and computational reconstruction algorithms [9, 12, 13, 29, 33, 47, 48, 52, 55, 56, 58, 59, 73, 74, 80] from 2D measurement to 3D HSI cube.”
- Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction (2021, methodology): “For example, GAP-TV [57] introduces the total variation prior.”