A novel ultrasonic image zooming algorithm based on sparse representation

In ultrasound imaging, it is usually needed to zoom in the B-mode image with high resolution. Therefore, a novel ultrasound image super-resolution zooming algorithm based on sparse representation was introduced in this paper. Sparse representation can achieve super-resolution reconstruction as long...

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Bibliographic Details
Published in2016 3rd International Conference on Systems and Informatics (ICSAI) pp. 861 - 865
Main Authors Qiong Zhang, Bin Li, Minfen Shen, Jinyao Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
Subjects
Dictionaries
dictionary construction
Image reconstruction
Image resolution
image zoom
Interpolation
Signal processing algorithms
Signal resolution
sparse representation
super-resolution
Ultrasonic imaging
ultrasound imaging
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Summary:In ultrasound imaging, it is usually needed to zoom in the B-mode image with high resolution. Therefore, a novel ultrasound image super-resolution zooming algorithm based on sparse representation was introduced in this paper. Sparse representation can achieve super-resolution reconstruction as long as the signal is sparse in certain dictionary. Simulation results show that our method outperforms the other methods not only on visual perception but also on edge protection.
DOI:10.1109/ICSAI.2016.7811071