A novel ultrasonic image zooming algorithm based on sparse representation
| Autor: | Jinyao Yang, Bin Li, Minfen Shen, Qiong Zhang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Visual perception
K-SVD Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 0102 computer and information sciences Sparse approximation 010501 environmental sciences 01 natural sciences Signal Superresolution Image (mathematics) Computer Science::Graphics 010201 computation theory & mathematics Computer Science::Computer Vision and Pattern Recognition Ultrasonic sensor Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence Zoom business Algorithm 0105 earth and related environmental sciences |
| Zdroj: | ICSAI |
| DOI: | 10.1109/icsai.2016.7811071 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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