Adaptive deep learning network for image reconstruction of compressed sensing
- 16 November 2023
- journal article
- research article
- Published by Springer Nature in Signal, Image and Video Processing
- Vol. 18 (2) , 1463-1475
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Tianjin Municipality (No.21JCZDJC00340)
This publication has 42 references indexed in Scilit:
- Proximal AlgorithmsFoundations and Trends® in Optimization, 2014
- Iterative hard thresholding for compressed sensingApplied and Computational Harmonic Analysis, 2009
- CoSaMP: Iterative signal recovery from incomplete and inaccurate samplesApplied and Computational Harmonic Analysis, 2009
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse ProblemsSIAM Journal on Imaging Sciences, 2009
- The restricted isometry property and its implications for compressed sensingComptes Rendus Mathématique, 2008
- Decoding by Linear ProgrammingIEEE Transactions on Information Theory, 2005
- Image quality assessment: from error visibility to structural similarityIEEE Transactions on Image Processing, 2004
- Atomic Decomposition by Basis PursuitSIAM Review, 2001
- De-noising by soft-thresholdingIEEE Transactions on Information Theory, 1995
- Matching pursuits with time-frequency dictionariesIEEE Transactions on Signal Processing, 1993