Accelerating statistical texture analysis with an FPGA-DSP hybrid architecture
| Autor: | Ibarra Picó, Francisco, Cuenca-Asensi, Sergio, Córcoles López, Víctor |
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| Přispěvatelé: | Universidad de Alicante. Departamento de Tecnología Informática y Computación, UniCAD: Grupo de Investigación en CAD/CAM/CAE de la Universidad de Alicante |
| Jazyk: | angličtina |
| Rok vydání: | 2001 |
| Předmět: | |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
| Popis: | Nowadays, most image processing systems are implemented using either MMX-optimized software libraries or, when time requirements are limited, expensive high performance DSP-based boards. In this paper we present a texture analysis co-processor concept that permits the efficient hardware implementation of statistical feature extraction, and hardware-software codesign to achieve high-performance low-cost solutions. We propose a hybrid architecture based on FPGA chips, for massive data processing, and digital signal processor (DSP) for floating-point computations. In our preliminary trials with test images, we achieved sufficient performance improvements to handle a wide range of real-time applications. |
| Databáze: | OpenAIRE |
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