Mixed noise removal framework using a nonlinear fourth-order PDE-based model

DOI10.1007/s00245-021-09813-4zbMath1486.35252OpenAlexW3194792450WikidataQ114230603 ScholiaQ114230603MaRDI QIDQ832623

Tudor Barbu

Publication date: 25 March 2022

Published in: Applied Mathematics and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00245-021-09813-4

zbMATH Keywords

finite difference methodwell-posednessmixed Poisson-Gaussian noise removalnumerical approximation scheme

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Initial-boundary value problems for higher-order parabolic equations (35K35) Signal detection and filtering (aspects of stochastic processes) (60G35) 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) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) Finite difference and finite volume methods for ordinary differential equations (65L12) Quasilinear parabolic equations (35K59)

Related Items (1)

Mixed Poisson-Gaussian noise reduction using a time-space fractional differential equations

Cites Work

• Novel diffusion-based models for image restoration and interpolation
• Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations
• An Efficient Total Variation Minimization Method for Image Restoration
• Image Denoising in Mixed Poisson–Gaussian Noise
• A Review of Image Denoising Algorithms, with a New One
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