Blind deconvolution using bilateral total variation regularization: a theoretical study and application

DOI10.1080/00036811.2021.1903442zbMath1497.49016OpenAlexW3139344484MaRDI QIDQ5037936

Mohammed El Rhabi, Idriss El Mourabit, Abdelilah Hakim

Publication date: 29 September 2022

Published in: Applicable Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00036811.2021.1903442

zbMATH Keywords

total variationregularizationrelaxationblind deconvolutiondeblurringalternating minimizationbilateral total variation

Mathematics Subject Classification ID

Methods involving semicontinuity and convergence; relaxation (49J45) Numerical algorithms for computer arithmetic, etc. (65Y04)

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Functional analysis, Sobolev spaces and partial differential equations
• Level set methods and dynamic implicit surfaces
• Blind image source separations by wavelet analysis
• Implementation of high-order variational models made easy for image processing
• Removing camera shake from a single photograph
• Image Processing and Analysis

This page was built for publication: Blind deconvolution using bilateral total variation regularization: a theoretical study and application