基于FPGA设计的弱小目标图像增强技术

Enhancing Technique of Fainf-small Target by FPGA

根据弱小目标成像模糊、图像对比度低的特点,提出先用门限高通滤波去除图像背景噪声及杂波,再采用门限直方图均衡法进行背景抑制和目标增强。给出了该方法在FPGA中的设计和实现过程,并应用到实时系统中。实验结果表明,该方法能有效实现弱小目标的图像增强,为后续目标提取提供数据,具有很强的工程实用价值。

According to the characteristics of weak small targets with imaging blurring and low contrast, this paper puts forward a new method of image enhancement, which first removals background noise and clutter with the threshold high pass filter, and then eliminates background and enhances targets through histogram equalization. At the same time, the paper describes the FPGA design and hardware implements, which is applicable to the real time system. The experimental result shows this method can effectively enhance weak small targets, and can also provides useful data for later target extraction with a strong engineering and application value.