Regularized variational dynamic stochastic resonance method for enhancement of dark and low-contrast image

DOI10.1016/J.CAMWA.2018.05.018zbMath1423.94012OpenAlexW2809168350MaRDI QIDQ2334887

Yanyan Li

Publication date: 8 November 2019

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2018.05.018

zbMATH Keywords

partial differential equationregularization methodimage enhancementimage denoisingdynamic stochastic resonance

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical solutions to stochastic differential and integral equations (65C30)

Related Items (1)

Identification for the low-contrast image signal with regularized variational term and dynamical saturating nonlinearity

Cites Work

• Nonlinear total variation based noise removal algorithms
• A class of fractional-order multi-scale variational models and alternating projection algorithm for image denoising
• An algorithm for total variation minimization and applications
• A new inexact alternating directions method for monotone variational inequalities
• Image restoration with a high-order total variation minimization method
• Fourth-order partial differential equations for noise removal
• Alternating Direction Method for Image Inpainting in Wavelet Domains
• Image Quantization Using Reaction-Diffusion Equations
• Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
• Enhancement of Color Images by Scaling the DCT Coefficients
• A Review of Image Denoising Algorithms, with a New One
• Total Generalized Variation

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