基于FPGA的点二维高斯滤波器图像处理

基于FPGA的点二维高斯滤波器图像处理(论文12000字)
摘要：随着信息、微电子技术、计算机科学与技术的实时发展，图像处理的理论得到飞速的发展，其应用领域也越来越广泛，已渗透到日常生活的方方面面。同时，硬件技术的迅猛发展让使用FPGA处理图像变成现实。本文先研究高斯滤波的算法理论，提出一种利用多次均值滤波实现高斯滤波的算法，然后使用VHDL语言使其在FPGA中实现，这样可以充分的利用FPGA的硬件资源，加快算法的处理速度。本文在最后对基于FPGA实现图像处理技术做了适当的总结与展望，为以后设计其他基于硬件的图像处理系统有了很好的理论和实践的基础。
关键词：FPGA；图像处理；高斯滤波；均值滤波

FPGA-based point-two-dimensional Gaussian filter image processing
Abstract:With the real-time development of information, microelectronics, computer science and technology, the theory of image processing has been rapidly developed, and its application areas have become more and more widespread, which has penetrated into every aspect of daily life. At the same time, the rapid development of hardware technology has made it practical to use FPGAs to process images. This paper first studies the theory of Gaussian filtering algorithms, proposes an algorithm that uses multiple mean-value filters to achieve Gaussian filtering, and then uses VHDL language to implement it in FPGA. This can make full use of FPGA hardware resources and speed up the processing speed of the algorithm. In the end, this paper makes a proper summary and prospect of image processing technology based on FPGA, and has a good theoretical and practical basis for the design of other hardware-based image processing systems.
Keywords:FPGA; Image Processing; Gaussian Filtering; Mean Filtering
 

目  录
1 绪论    1
1.1 课题背景    1
1.2 图像处理技术的发展现状    1
1.3  FPGA的发展现状    2
1.4 基于FPGA的图像处理技术的发展现状    3
1.5 本文的研究内容    4
2 FPGA设计综述    5
2.1 FPGA技术    5
2.1.1  FPGA的发展    5
2.1.2  FPGA的基本原理    5
2.1.3  FPGA的优点    5
2.2 基于Quartus II的FPGA设计流程    6
3 数字图像处理算法研究    7
3.1 方形窗    7
3.2 卷积运算    7
3.3 二维高斯滤波    8
3.4 快速逼近高斯滤波算法    9
4 基于FPGA的图像处理算法实现    11
4.1 滤波器总体硬件设计方案    11
4.2 方形窗的FPGA实现    12
4.3 行列计数器及FPGA硬件设计    14
4.4 高斯滤波的FPGA实现    15
4.5 高斯滤波的快速实现研究    19
5 总结与展望    22
5.1 总结    22
5.2 展望    22
参考文献    24
致谢    25