Adaptive singular value decomposition in wavelet domain for image denoising.

DOI10.1016/S0031-3203(02)00323-0zbMath1055.68137MaRDI QIDQ1403761

Zujun Hou

Publication date: 4 September 2003

Published in: Pattern Recognition (Search for Journal in Brave)

zbMATH Keywords

Adaptive filteringWavelet transformEdge detectionImage denoisingSingular value decomposition (SVD)

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (3)

Extracting energetically dominant flow features in a complicated fish wake using singular-value decomposition ⋮ Two-stage image denoising by principal component analysis with local pixel grouping ⋮ Image denoising in steerable pyramid domain based on a local Laplace prior

Cites Work

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• Speed of estimation in positron emission tomography and related inverse problems
• Adaptive wavelet thresholding for image denoising and compression
• A theory for multiresolution signal decomposition: the wavelet representation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Singularity detection and processing with wavelets
• Kalman filtering in two dimensions
• Ideal spatial adaptation by wavelet shrinkage
• Signal analysis using a multiresolution form of the singular value decomposition
• High-Order Total Variation-Based Image Restoration
• Statistical analysis of effective singular values in matrix rank determination
• De-noising by soft-thresholding

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