Alternating Direction Method of Multiplier for Euler’s Elastica-Based Denoising

DOI10.1007/978-3-319-18461-6_55zbMath1444.94026OpenAlexW2400911206MaRDI QIDQ3300349

Maryam Yashtini, Sung Ha Kang

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18461-6_55

zbMATH Keywords

ADMMcurvaturedenoisingalternating direction method of multiplierEuler's elasticanonlinear nonsmooth optimization

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Discrete approximations in optimal control (49M25)

Related Items (11)

A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting ⋮ Euler's elastica-based algorithm for parallel MRI reconstruction using sensitivity encoding ⋮ Total roto-translational variation ⋮ Super-resolution surface reconstruction from few low-resolution slices ⋮ Elastica Models for Color Image Regularization ⋮ A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing ⋮ Image segmentation with depth information via simplified variational level set formulation ⋮ Two-level method for the total fractional-order variation model in image deblurring problem ⋮ Convex Lifting-Type Methods for Curvature Regularization ⋮ A novel Euler's elastica-based segmentation approach for noisy images using the progressive hedging algorithm ⋮ Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization

Uses Software

• RecPF

Cites Work

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