A fast computation method for time scale signal denoising
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Publication:1044289
DOI10.1007/s11760-008-0060-9zbMath1177.94053OpenAlexW2066199162MaRDI QIDQ1044289
Domenico Vitulano, Vittoria Bruni, Benedetto Piccoli
Publication date: 11 December 2009
Published in: Signal, Image and Video Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11760-008-0060-9
wavelet transformtime frequency atomsimage and signal denoisingmodulus maxima representationtime scale trajectories
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60)
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Time-scale similarities for robust image de-noising ⋮ Sparsity-Assisted Signal Smoothing ⋮ An automatic and parameter-free information-based method for sparse representation in wavelet bases ⋮ An iterative approach for spectrogram reassignment of frequency modulated multicomponent signals ⋮ A family of level-dependent biorthogonal wavelet filters for image compression
Cites Work
- Unnamed Item
- The structure of images
- Image denoising based on the edge-process model
- Wavelet-based signal de-noising via simple singularities approximation
- Diffusion-inspired shrinkage functions and stability results for wavelet denoising
- Spatially adaptive wavelet thresholding with context modeling for image denoising
- Image denoising using scale mixtures of gaussians in the wavelet domain
- Singularity detection and processing with wavelets
- Ideal spatial adaptation by wavelet shrinkage
- De-noising by soft-thresholding
- Wavelet footprints: theory, algorithms, and applications
- A Review of Image Denoising Algorithms, with a New One
- Wavelets
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