A new similarity measure for nonlocal filtering in the presence of multiplicative noise

DOI10.1016/j.csda.2012.05.009zbMath1254.94010OpenAlexW1995481051MaRDI QIDQ1927162

Yanyan Li

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/2311

zbMATH Keywords

maximum likelihood estimationsimilarity measuresimage restorationmultiplicative noiseconditional density functionsnonlocal filtering

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Image analysis in multivariate analysis (62H35) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Multiplicative noise removal with a sparsity-aware optimization model, How to compare noisy patches? patch similarity beyond Gaussian noise, Speckle reduction with trained nonlinear diffusion filtering, An additive approximation to multiplicative noise, A Gray Level Indicator-Based Regularized Telegraph Diffusion Model: Application to Image Despeckling, A nonlinear diffusion equation-based model for ultrasound speckle noise removal, Multiplicative Noise Removal Based on Unbiased Box-Cox Transformation, Nonlocal myriad filters for Cauchy noise removal, Weighted nuclear norm minimization-based regularization method for image restoration

Uses Software

• Matlab
• CurvL1MultDenoise

Cites Work

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