Abstract: When processing the information like images, we find that image details can often convey more information, and that is why people are more concerned with images details. However, under the condition of unsatisfactory illumination, the images collected by sensors are usually with low contrast and difficult to distinguish the details. To solve the above problems, an image edge extraction and enhancement method based on field-programmable gate array (FPGA) is proposed. Four parallel 512×512-point fast Fourier transform (FFT) processors are designed by modular design, and the resource consumption in FPGA is reduced by multiplexing FFT modules. At the same time, high-pass filtering algorithm and inverse fourier transform algorithm of image spectrum are realized. The simulation and experiment show that the method is effective, reliable and real-time, and it can also meet the needs of industrial image processing.

Key words: field-programmable gate array (FPGA), fast Fourier transformation (FFT), edge enhancement, frequency domain, wave filtering