Towards the Use of Super-Resolution in
Biomedical Systems-on-Chip
Gustavo M. Callico, Sebastian López, Félix Tobajas, Valentin De Armas, José F. López, Antonio Núñez, Roberto Sarmiento
Super-resolution is a smart process capable of generating
images with a higher resolution than the resolution of the sensor
used to acquire the images. Due to this reason, it has acquired a
significant relevance within the medical community during the
last years, especially for those specialties closely related with
the medical imaging field. However, the super-resolution
algorithms used in this field are normally extremely complex
and thus, they tend to be slow and difficult to be implemented
in hardware. This paper proposes a new super-resolution
algorithm for video sequences that, while maintaining excellent
levels in the objective and subjective visual quality of the
processed images, presents a reduced computational cost due to
its non-iterative nature and the use of fast motion estimation
techniques. Additionally, the algorithm has been successfully
implemented in a low-cost hardware platform, which guarantees
the viability of the proposed solution for real-time biomedical
systems-on-chip. Full Text
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