Total variation based denoising methods for speckle noise images

DOI10.2140/involve.2017.10.327zbMath1366.94046OpenAlexW2555512738MaRDI QIDQ342646

Ethan Lockhart, Hyeona Lim, Arundhati Bagchi Misra

Publication date: 18 November 2016

Published in: Involve (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2140/involve.2017.10.327

zbMATH Keywords

denoisinganisotropic diffusionChambolle algorithmfast speckle denoisingspeckle noisetotal variation (TV) model

Mathematics Subject Classification ID

Optimality conditions for problems involving partial differential equations (49K20) Numerical optimization and variational techniques (65K10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Finite difference methods for boundary value problems involving PDEs (65N06)

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