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Despeckling of ultrasound images using novel adaptive wavelet thresholding function

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Publication:2002425
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DOI10.1007/s11045-018-0616-yzbMath1416.92104OpenAlexW2889926833MaRDI QIDQ2002425

Emjee Puthooran, Ramesh Kumar Sunkaria, Simarjot Kaur Randhawa

Publication date: 12 July 2019

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-018-0616-y

zbMATH Keywords

thresholdingwavelet coefficientsspeckle noisenoise varianceultrasound imagedespeckling


Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)


Related Items

Ultrasound speckle reduction using adaptive wavelet thresholding



Cites Work

  • Estimation of the mean of a multivariate normal distribution
  • Adaptive wavelet thresholding for image denoising and compression
  • Adapting to Unknown Smoothness via Wavelet Shrinkage
  • A theory for multiresolution signal decomposition: the wavelet representation
  • $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
  • De-noising by soft-thresholding
  • Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
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