图像预处理算法在ZYNQ芯片上的设计与实现

Design and Implementation of Image Preprocessing Algorithm in ZYNQ

文章首先分析了基于排序的边缘增强算法的不足之处,并提出改进的方法。之后,介绍了预处理模块内部的状态机,以及如何高效率的读取图像数据。在算法验证部分使用Zynq-7020芯片作为核心芯片,利用FPGA的特点,以及算法的并行性,较为高效地完成了算法的实现。最后,通过实验的对比,证明了改进方法是有效可行的。

Firstly,this paper analyzed the defect of the original edge enhancement algorithm based on sorting,and make improvements.The first part of this paper introduced the state machine of preprocessing module and how to read image data into preprocessing module with high efficiency.Secondly,the Zynq-7020 was taken as core chip at the part of algorithm validation.The FPGA feature and algorithm＇s concurrency utilized to accomplish the algorithm.Finally,the contrast test proved the improved algorithm is effective and feasible.