基于FPGA的二维FFT图像边缘增强设计

在处理图像类信息时，图像细节往往能传达更多信息，是人们较为关注部分。针 对在光照不理想的条件下，传感器采集到的图像对比度低、细节难以分辨的问题，提出一种基 于现场可编程门阵列(FPGA)的二维快速傅立叶变换的图像边缘提取及增强方法。通过模块化设 计，完成 4 路并行 512×512 点快速傳里叶变换(FFT)运算处理器设计，并通过 FFT 模块复用减 少 FPGA 内资源消耗，同时实现图像频谱的高通滤波算法及傅立叶逆变换算法。经过仿真与实 验，确定该方法有效可靠，实时性强，可以满足工业上图像处理的需求。

2D-FFT Image Edge Enhancement Design Based on FPGA

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.