Image denoising using the Gaussian curvature of the image surface
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Publication:2808876
DOI10.1002/num.22042zbMath1339.65027OpenAlexW2236372174WikidataQ58866727 ScholiaQ58866727MaRDI QIDQ2808876
Ke Chen, Víctor Uc-Cetina, Carlos Brito-Loeza
Publication date: 25 May 2016
Published in: Numerical Methods for Partial Differential Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/num.22042
algorithmregularizationnumerical experimentaugmented Lagrangian methodGaussian curvatureimage denoisingvariational modelsimage surface
Related Items (11)
Two new preconditioners for mean curvature-based image deblurring problem ⋮ Entropy solutions for an adaptive fourth-order nonlinear degenerate problem for noise removal ⋮ Spatially adapted first and second order regularization for image reconstruction: from an image surface perspective ⋮ An effective algorithm for mean curvature-based image deblurring problem ⋮ A two-level method for image denoising and image deblurring models using mean curvature regularization ⋮ An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging ⋮ Analysis of the CCFD method for MC-based image denoising problems ⋮ A Mean Curvature Regularized Based Model for Demodulating Phase Maps from Fringe Patterns ⋮ Image reconstruction by minimizing curvatures on image surface ⋮ Total bending method for piecewise smoothing image denoising ⋮ A Fast Linearised Augmented Lagrangian Method for a Mean Curvature Based Model
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