基于FPGA的实时高污染图像降噪器的设计

Design of A Real-time Noise Reduction of Highly Corrupted Images Based on FPGA

针对高污染图像,以现场可编程门阵列(FPGA)为平台,实现了一种最大最小排除均值滤波(MMEM)器,并给出了后仿真时序结果和图像仿真结果。试验证明,该滤波器在实时性和噪声抑止性能方面均能达到令人满意的效果。

Based on the platform of FPGA, a maximum minimum exclusive mean filter is implemented to process highly corrupted images. Post - timing simulation and image simulation are also presented. The simulation shows that the MMEM filter can achieve acceptable results in both real - time and noise removing aspects