Despeckle Filtering for Ultrasound Imaging and Video, 2nd Edition

Book description

It is well known that speckle is a multiplicative noise that degrades image and video quality and the visual expert's evaluation in ultrasound imaging and video. This necessitates the need for robust despeckling image and video techniques for both routine

Table of contents

  1. Preface
  2. Acknowledgments
  3. List of Symbols
  4. List of Abbreviations
  5. Introduction to Speckle Noise in Ultrasound Imaging and Video
    1. A Brief Review of Ultrasound Imaging and Video
      1. Basic Principles of Ultrasound Imaging and Video
      2. Ultrasound Modes
      3. Image and Video Quality and Resolution
      4. Limitations of Ultrasound Imaging and Video
    2. Speckle Noise
      1. Physical Properties and Pattern of Speckle Noise
      2. Speckle Noise Modeling
      3. Early Attempts of Despeckle Filtering in Different Modalities and Ultrasound Imaging and Video
      4. Speckle Noise Tracking
    3. An Overview of Despeckle Filtering Techniques
    4. Limitations of Despeckle Filtering Techniques
    5. Guide to Book Contents
  6. Basics of Evaluation Methodology
    1. Use of Phantom and Artificial Ultrasound Images and Videos
    2. Image and Video Despeckle Filtering Toolboxes
    3. Image and Video Quality Evaluation Metrics (1/2)
    4. Image and Video Quality Evaluation Metrics (2/2)
  7. Linear Despeckle Filtering
    1. First-Order Statistics Filtering (DsFlsmv, DsFwiener)
    2. Local Statistics Filtering with Higher Moments (DsFlsminv1d, DsFlsmvsk2d)
    3. Homogeneous Mask Area Filtering (DsFlsminsc) (1/2)
    4. Homogeneous Mask Area Filtering (DsFlsminsc) (2/2)
  8. Nonlinear Despeckle Filtering
    1. Median Filtering (DsFmedian)
    2. Linear Scaling Filter (DsFca, DsFlecasort, DsFls)
    3. Maximum Homogeneity over a Pixel Neighborhood Filtering (DsFhomog)
    4. Geometric Filtering (DsFgf4d) (1/2)
    5. Geometric Filtering (DsFgf4d) (2/2)
    6. Homomorphic Filtering (DsFhomo)
    7. Hybrid Median Filtering (DsFhmedian)
    8. Kuwahara Filtering (DsFKuwahara)
    9. Nonlocal Filtering (DsFnlocal)
  9. Diffusion Despeckle Filtering
    1. Anisotropic Diffusion Filtering (DsFad)
    2. Speckle-Reducing Anisotropic Diffusion Filtering (DsFsrad)
    3. Nonlinear Anisotropic Diffusion Filtering (DsFnldif)
    4. Nonlinear Complex Diffusion Filtering (DsFncdif)
  10. Wavelet Despeckle Filtering
  11. Evaluation of Despeckle Filtering
    1. Despeckle Filtering Evaluation on an Artificial Carotid Artery Image
    2. Despeckle Filtering Evaluation on a Phantom Image
    3. Despeckle Filtering Evaluation on Real Ultrasound Images and Video
    4. Summary Findings on Despeckle Filtering Evaluation (1/3)
    5. Summary Findings on Despeckle Filtering Evaluation (2/3)
    6. Summary Findings on Despeckle Filtering Evaluation (3/3)
  12. Summary and Future Directions
    1. Summary
    2. Future Directions
  13. Appendices
    1. Despeckle Filtering, Texture Analysis, and Image Quality Evaluation Toolbox Functions
    2. Despeckle Filtering, Texture Analysis, and Video (VDF toolbox) Quality Evaluation Toolbox Functions
    3. Examples of Running the Despeckle Filtering Toolbox Functions
  14. References (1/3)
  15. References (2/3)
  16. References (3/3)
  17. Authors' Biographies

Product information

  • Title: Despeckle Filtering for Ultrasound Imaging and Video, 2nd Edition
  • Author(s): Christos P. Loizou, Constantinos S. Pattichis
  • Release date: April 2015
  • Publisher(s): Morgan & Claypool Publishers
  • ISBN: 9781627057424