Variational Bayesian Blind Deconvolution Using a Total Variation Prior
From MaRDI portal
Publication:5365834
DOI10.1109/TIP.2008.2007354zbMath1371.94479DBLPjournals/tip/BabacanMK09OpenAlexW2163940565WikidataQ51859661 ScholiaQ51859661MaRDI QIDQ5365834
S. Derin Babacan, Aggelos K. Katsaggelos, Rafael Molina
Publication date: 9 October 2017
Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tip.2008.2007354
Image analysis in multivariate analysis (62H35) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (20)
SURE-type functionals as criteria for parametric PSF estimation ⋮ Multiplicative noise removal via nonlocal similarity-based sparse representation ⋮ A unified optimization perspective to single/multi-observation blur-kernel estimation with applications to camera-shake deblurring and nonparametric blind super-resolution ⋮ A variational Bayesian superresolution approach using adaptive image prior model ⋮ \( \chi^2\) test for total variation regularization parameter selection ⋮ Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-differentiable Priors ⋮ Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map ⋮ RTR-DPD: reweighted Tikohonov regularization for blind deblurring via dual principles of discriminativeness ⋮ Geological facies recovery based on weighted \(\ell_1\)-regularization ⋮ A multiplicative noise removal approach based on partial differential equation model ⋮ Constrained total variation based three-dimension single particle reconstruction in cryogenic electron microscopy ⋮ Fast parallel grid warping-based image sharpening method ⋮ Non-blind and blind deconvolution under Poisson noise using fractional-order total variation ⋮ Sampling-based uncertainty quantification in deconvolution of X-ray radiographs ⋮ A Guide to the TV Zoo ⋮ Astronomical image restoration using variational methods and model combination ⋮ Using generalized cross validation to select regularization parameter for total variation regularization problems ⋮ A nonlocal low rank model for Poisson noise removal ⋮ Minimisation and Parameter Estimation in Image Restoration Variational Models with ℓ<sub>1</sub>-Constraints ⋮ Unnamed Item
This page was built for publication: Variational Bayesian Blind Deconvolution Using a Total Variation Prior