Abstract: This paper presents the design and implementation of image processing applications on field programmable gate array (FPGA). To improve the implementation time, Xilinx AccelDSP, a software for generating hardware description language (HDL) from a high-level MATLAB description has been used. Two FPGA-based architectures for image processing have been proposed: Color Space Conversion and Edge Detection. The designs were implemented on Spartan 3A DSP and Virtex 5 devices. Obtained results are discussed and compared with others architectures.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 11, 2015, Art. #5
Yahia Said, Taoufik Saidani, Mohamed Atri, "FPGA-Based Architectures for Image Processing Using High-Level Design," WSEAS Transactions on Signal Processing, vol. 11, pp. 38-44, 2015, DOI:
Yahia Said, Taoufik Saidani, Mohamed Atri. FPGA-Based Architectures for Image Processing Using High-Level Design.
WSEAS Transactions on Signal Processing. 2015;11:38-44.