本文为芬兰赫尔辛基应用科学大学（作者：Akewak Jeba）的学士论文，共66页。

本项目的主要目标是分析用于增强图像的数字图像处理方法。本课题包括数字图像处理的主要概念，如何利用一些技术对其进行处理，并对这些技术进行比较，提出哪一种处理数字图像的方法比较容易。这些技术的目标包括降低噪声、增强对比度和图像锐化。本文还分析了彩色图像的处理方法，并提出了恢复彩色图像的方法。本项目采用了MATLAB仿真软件，对数学算法进行了编程和测试，以找出所需的输出结果。在这个项目中，数学分析是基本的核心。一般来说，空域和频域方法在不同的技术中都是重要且适用的；本项目试图展示空域和频域方法的比较及其优缺点。本项目还建议在许多其他图像处理应用程序中进行更多的研究，以证明这些方法的重要性。

The main goal of the project is to analyze the methods of digital image processing that are used to enhance an image. This project included the main concept of digital image processing, how to process it using some techniques and compare the techniques and suggest which one is easy to deal with digital images. The targets of the techniques include reducing noise, contrast enhancement and image sharpening. This project also analyzed the methods on color images and suggested the ways in order to restore images. The method used to carry out the project was MATLAB software. Mathematical algorithms were programmed and tested for the result to find the necessary output. In this project mathematical analysis was the basic core. Generally the spatial and frequency domain methods were both important and applicable in different technologies. This project has tried to show the comparison between spatial and frequency domain approaches and their advantages and disadvantages. This project also suggested that more research have to be done in many other image processing applications to show the importance of those methods.

1 引言

2 理论背景

3 空域图像增强与变换

4 频域图像增强

5 图像恢复

6 空域和频域方法分析与结果

7 结论

附录1 空域算法的源代码

附录2 频域算法的源代码 

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