Nonlinear Inverse Scale Space Methods for Total Variation Blind Deconvolution

DOI10.1137/080724289zbMath1177.65193OpenAlexW2089712903MaRDI QIDQ3183381

Antonio Marquina

Publication date: 19 October 2009

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/080724289

zbMATH Keywords

numerical resultsdenoisingGaussian blurtotal variation restorationblind deconvolution algorithminverse scale space methods

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Integral equations of the convolution type (Abel, Picard, Toeplitz and Wiener-Hopf type) (45E10)

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A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing ⋮ Image recovery via nonlocal operators ⋮ Primal and dual Bregman methods with application to optical nanoscopy ⋮ Mixed higher order variational model for image recovery ⋮ A new nonlocal total variation regularization algorithm for image denoising ⋮ A fast higher degree total variation minimization method for image restoration ⋮ A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring

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