Simultaneous Compression and De-Speckling of Medical Ultrasound Images

Shira Nemirovsky Rotman, Zvi Friedman, Moshe Porat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Compression of medical ultrasound images is necessary in order to meet storage and transmission requirements. Moreover, de-speckling is essential for diagnostic applications. We propose an algorithm for simultaneous compression and de-speckling of ultrasound images, based on optimization of quantization parameters applied on the coefficients of the coding transform. The optimization is applied in the rate-fidelity space, such that for a given target compression ratio, an optimal fidelity is obtained with respect to an a-priori known de-speckled image. The algorithm was tested on a set of fetal images. Results show that the reconstructed images better resemble the de-speckled images, compared to those obtained using standard quantization.

Original languageEnglish
Title of host publication2019 IEEE International Ultrasonics Symposium, IUS 2019
PublisherIEEE Computer Society
Number of pages3
ISBN (Electronic)9781728145969
StatePublished - Oct 2019
Externally publishedYes
Event2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom
Duration: 6 Oct 20199 Oct 2019

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727


Conference2019 IEEE International Ultrasonics Symposium, IUS 2019
Country/TerritoryUnited Kingdom

Bibliographical note

Publisher Copyright:
© 2019 IEEE.


  • Image compression
  • de-speckling
  • fetal ultrasound images
  • fidelity
  • quantization

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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