Despeckling method of ultrasound images using closed-form shrinkage function based on cauchy distribution in wavelet domain

DOI10.1142/S0219691320500265zbMath1456.94007MaRDI QIDQ5117185

Soon-Ic Bahng, Kyong-Il Kim, Ryong-Nam Choe

Publication date: 20 August 2020

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

zbMATH Keywords

Cauchy distributionspeckle noiseshrinkage functionultrasound imagewavelet image denoising

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (2)

A method to enhance the noise robustness of correlation velocity measurement using discrete wavelet transform ⋮ Closed-form shrinkage function based on mixture of Gauss–Laplace distributions for dropping ambient noise

Cites Work

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• The generalized Cauchy family of distributions with applications
• Comparative study of statistical modeling of wavelet coefficients for SAR image despeckling
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• The Gaussian Transform of Distributions: Definition, Computation and Application
• Local probability distribution of natural signals in sparse domains

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