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.
|Title of host publication||2019 IEEE International Ultrasonics Symposium, IUS 2019|
|Publisher||IEEE Computer Society|
|Number of pages||3|
|State||Published - Oct 2019|
|Event||2019 IEEE International Ultrasonics Symposium, IUS 2019 - Glasgow, United Kingdom|
Duration: 6 Oct 2019 → 9 Oct 2019
|Name||IEEE International Ultrasonics Symposium, IUS|
|Conference||2019 IEEE International Ultrasonics Symposium, IUS 2019|
|Period||6/10/19 → 9/10/19|
Bibliographical noteFunding Information:
This work was supported by the Israeli Ministry of Science and Technology and by the Ollendorff Minerva Centre of the Andrew and Erna Viterbi Faculty of Electrical Engineering at the Technion - Israel Institute of Technology. Minerva is funded through the BMBF.
© 2019 IEEE.
- fetal ultrasound images
- Image compression
ASJC Scopus subject areas
- Acoustics and Ultrasonics