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From Nonlinear Digital Filters to Shearlet Transform: A Comparative Evaluation of Denoising Filters Applied on Ultrasound Images

  • S. Latha
  • Dhanalakshmi Samiappan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Ultrasound images suffer from poor bone and air penetration, lighting conditions, light scattering, bending, absorption, and reflection. The blur and noise present in the image may be removed by suitable denoising algorithms, so that the preprocessed image will provide better results in further processing. Various denoising algorithms are analyzed, and the results are compared with denoising performance evaluation metrics like PSNR, Mean Square Error, Structural Similarity, and Correlation.

Keywords

(5–6) curvelet Denoise Homomorphic Speckle Ultrasound 

Notes

Acknowledgements

The authors thankfully acknowledges the financial support provided by The Institution of Engineers (India) for carrying out Research & Development work in this subject.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringSRM Institute of Science and TechnologyKattankulathur, KancheepuramIndia

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