Wavelet denoising via sparse representation
DOI10.1007/s11432-009-0116-7zbMath1181.94032OpenAlexW2095021988MaRDI QIDQ848274
Mingui Sun, Xiaoyu Liu, Ching-Chung Li, Robert J. Sclabassi, Ruizhen Zhao
Publication date: 3 March 2010
Published in: Science in China. Series F (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11432-009-0116-7
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Application of orthogonal and other special functions (94A11)
Cites Work
- Unnamed Item
- Iterative thresholding for sparse approximations
- Gibbs phenomenon for wavelets
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Stable recovery of sparse overcomplete representations in the presence of noise
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Signal Reconstruction From Noisy Random Projections
- De-noising by soft-thresholding
- Compressed sensing
This page was built for publication: Wavelet denoising via sparse representation