Artículo internacional:

Año: 2017, Real-Time GPU-Based Image Processing for a 3-D THz Radar

Medio de publicación:

Revista: IEEE Transactions on Parallel and Distributed Systems (Volume: 28, Nº 10, Oct. 1 2017) .  Page(s): 2953 - 2964. DOI: 10.1109/TPDS.2017.2687927 

Autores: Federico García Rial; Luis Úbeda Medina; Jesús Grajal de la Fuente

Resumen:

A real-time image processing algorithm, using a GPU with NVIDIA’s CUDA technology, for a 3-D through-clothes detection radar in the THz band has been developed. Traditional CPU-based architectures lack the computing power and parallelization needed to meet the image refresh rates imposed by the radar’s scanning. This solution presents a low-cost and flexible alternative that allows image refresh at a rate of more than 8 fps for images composed of 6,000 pixels, corresponding to a scanned area of 50×  90 cm  2   . The performance of this code has been profiled, with comparison against a previous CPU-executed version, and some optimizations that would enable even faster refresh have been analyzed.

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