Despeckling Methods for Medical Ultrasound Images

  • Ju Zhang
  • Yun Cheng

About this book


Based upon the research they have conducted over the past decade in the field of denoising processes for medical ultrasonic imaging, in this book, the authors systematically present despeckling methods for medical ultrasonic images. Firstly, the respective methods are reviewed and divided into five categories. Secondly, after introducing some basic mathematical tools such as wavelet and shearlet transforms, the authors highlight five recently developed despeckling methods for medical ultrasonic images. In turn, simulations and experiments for clinical ultrasonic images are presented for each method, and comparison studies with other well-known existing methods are conducted, showing the effectiveness and superiority of the new methods. Students and researchers in the field of signal and image processing, as well as medical professionals whose work involves ultrasonic diagnosis, will greatly benefit from this book. Familiarizing them with the state of the art in despeckling methods for medical ultrasonic images, it offers a useful reference guide for their study and research work.


Despeckling Methods Medical Ultrasonic Images Wavelet-Based Despeckling Shearlet-Transform-Based Method Fast-Bilateral Filter Guided Filter Trilateral Filter Speckle Removal Despeckle Filtering Guided Image Filtering Image Denoising

Authors and affiliations

  • Ju Zhang
    • 1
  • Yun Cheng
    • 2
  1. 1.Zhijiang College of Zhejiang University of TechnologyShaoxingChina
  2. 2.Department of UltrasoundZhejiang HospitalHangzhouChina

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-0515-7
  • Online ISBN 978-981-15-0516-4
  • Buy this book on publisher's site