Abstract
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 language | English |
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Title of host publication | 2019 IEEE International Ultrasonics Symposium, IUS 2019 |
Publisher | IEEE Computer Society |
Pages | 1448-1450 |
Number of pages | 3 |
ISBN (Electronic) | 9781728145969 |
DOIs | |
State | Published - Oct 2019 |
Externally published | Yes |
Event | 2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom Duration: 6 Oct 2019 → 9 Oct 2019 |
Publication series
Name | IEEE International Ultrasonics Symposium, IUS |
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Volume | 2019-October |
ISSN (Print) | 1948-5719 |
ISSN (Electronic) | 1948-5727 |
Conference
Conference | 2019 IEEE International Ultrasonics Symposium, IUS 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 6/10/19 → 9/10/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Image compression
- de-speckling
- fetal ultrasound images
- fidelity
- quantization
ASJC Scopus subject areas
- Acoustics and Ultrasonics