Design of a Gabor Filter HW Accelerator for Applications in Medical Imaging

The Gabor filter (GF) has been proved to show good spatial frequency and position selectivity, which makes it a very suitable solution for visual search, object recognition, and, in general, multimedia processing applications. GFs prove useful also in the processing of medical imaging to improve part of the several filtering operations for their enhancement, denoising, and mitigation of artifact issues. However, the good performances of GFs are compensated by a hardware complexity that traduces in a large amount of mapped physical resources. This paper presents three different designs of a GF, showing different tradeoffs between accuracy, area, power, and timing. From the comparative study, it is possible to highlight the strength points of each one and choose the best design. The designs have been targeted to a Xilinx field-programmable gate array (FPGA) platform and synthesized to 90-nm CMOS standard cells. FPGA implementations achieve a maximum operating frequency among the different designs of 179 MHz, while 350 MHz is obtained from CMOS synthesis. Therefore, 86 and 168 full-HD ( $1920 \times 1080$ ) f/s could be processed, with FPGA and std_cell implementations, respectively. In order to meet space constraints, several considerations are proposed to achieve an optimization in terms of power consumption, while still ensuring real-time performances.

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