摘要现代科学研究以及生产实践中，图像信息越来越多地被人们用来认识和判断事物，解决实际问题。在实际生活当中，通过成像系统获得的图像都会有一定程度的退化，造成图像信息的丢失。本文通过基于DSP的方法，对图像增强算法进行研究，分析出不同算法的作用及其所适用的条件。本文首先介绍数字图像的基础知识和实验中使用的DSP硬件系统，然后讨论了空域下的图像增强方法，包括灰度映射，直方图均衡化和空域滤波。在详细地论述了空域增强算法的数学原理后，用Matlab对比较合适的灰度图像进行仿真处理，比较处理前与处理后的图像，分析出算法的作用及其适用条件。最后，把算法移植到搭建好的DSP硬件系统上，对拍摄的实时图像进行实际的处理，同样比较处理前后的图像变化，验证前面仿真所得出的结论。64361

毕业论文关键词  图像增强  DSP  Matlab仿真

毕业设计说明书（论文）外文摘要

Title    The research on the algorithm of   image enhancement based on DSP                                                            

Abstract In modern scientific research and production practice, image information is more and more used by people to understand things and solve practical problems. In real life, the images obtained by the imaging system will have some degree of degradation, resulting in the loss of image information. In this paper, do research on image enhancement algorithm based on DSP system, in order to analyze the function and the applicable condition of different algorithms. Firstly, the basic knowledge of digital image and the hardware system of DSP used in the research are introduced. Then the methods of spatial domain enhancement are discussed, including gray-level mapping, histogram equalization and spatial domain filtering. The mathematical principles of spatial domain enhancement algorithm are discussed in detail. Later, the suitable gray image processing is simulated with Matlab. The function and the applicable condition are analyzed by the comparison of the images before and after the image processing. Finally, the algorithm is transplanted into the hardware system of DSP which has been built, in order to process the real-time image filmed by the camera to verify the conclusion got by the simulations by the comparison of the images before and after the image processing as the same with simulations before.

Keywords  Image Enhancement  DSP  Matlab Simulation

目  录

1 绪论 1

1.1 研究背景与意义 1

1.2 研究现状与分析 2

1.3论文的章节安排 3

2 数字图像基础理论 4

2.1 数字图像基础 4

2.1.1 数字图像的概念 4

2.1.2 数字图像的表示 5

2.1.3 数字图像的获取 5

2.1.4 数字图像的种类 6

2.1.5 数字图像的存储格式 7

2.2 本章小结 8

3 DSP硬件系统 8

3.1 SEED-DTK_VPM642系统软硬件配置表 9

3.2 DSP硬件平台 10

3.3 本章小结 11

4 图像增强与实验