Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
The region-based description of multispectral images enables important high-level tasks such as data mining and retrieval, and region-of-interest selection. In order to obtain an ...
Marco Cagnazzo, Raffaele Gaetano, Sara Parrilli, L...
This paper describes a new compression/decompression methodology for using an embedded processor to test the other components of a system-on-a-chip (SoC). The deterministic test v...
This paper introduces a 2-D strain imaging technique based on minimizing a cost function using dynamic programming (DP). The cost function incorporates similarity of echo amplitude...
- In recent years, wavelet lifting is widely used in digital image processing. Different lifting schemes decorrelate digital medical image sets differently. The difference is due t...
Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh,...