Wavelet deblurring algorithms for spatially varying blur from high-resolution image reconstruction

DOI10.1016/S0024-3795(02)00497-4zbMath1025.65064WikidataQ57397359 ScholiaQ57397359MaRDI QIDQ1874664

Zuowei Shen, Tony F. Chan, Li-Xin Shen, Raymond Honfu Chan

Publication date: 25 May 2003

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

zbMATH Keywords

multiresolution analysisnumerical examplesiterative algorithmswaveletlowpass filterhigh-resolution image reconstructionblurring operatorsdeblurring algorithmsTikhonov least squares method

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (7)

Deconvolution: a wavelet frame approach ⋮ An Adaptive Directional Haar Framelet-Based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging ⋮ Simultaneously inpainting in image and transformed domains ⋮ A phase model using the Huber norm for estimating point spread function under frozen flow hypothesis ⋮ Functional denoising and reconstruction of fractal image sequences ⋮ Tight frame: an efficient way for high-resolution image reconstruction ⋮ Optimal multivariate Gaussian fitting with applications to PSF modeling in two-photon microscopy imaging

Uses Software

• Stony Brook

Cites Work

• Unnamed Item
• Cosine transform preconditioners for high resolution image reconstruction
• Ten Lectures on Wavelets
• Biorthogonal bases of compactly supported wavelets
• Ideal spatial adaptation by wavelet shrinkage
• Stability and Orthonormality of Multivariate Refinable Functions
• Refinable Function Vectors
• Wavelet Algorithms for High-Resolution Image Reconstruction
• A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions
• De-noising by soft-thresholding

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