本科生毕业设计（论文）模板
毕 业 设 计（论 文）
题 目
基于小波变换的医学图像压缩编码研究
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摘 要
新的成像方式如多层成像，增加了数据量。计算机断层扫描仪和磁共振成像证明了有损
性的使用，压缩技术，降低了存储成本，提高效率，在远程放射学或访问电子病历网络传输
中得到广泛应用。图像压缩首先被用来处理有限的记忆。第一台个人电脑和彩色文件的大尺
寸图像，提出并开发了基于小波变换的压缩编码算法适用于医学成像。
小波压缩，称为离散小波变换（DWT）。将图像视为信号或波进行转换、量化和编码。
图像经过变换处理将分辨率或细节减少，保留医学图像细节和边缘，达到压缩目的，然后可
以逆变换重构出医学图像信息。作为最显着的工具之一，小波表现优于离散傅里叶变换
（DFT）或离散余弦变换（DCT）图像处理方面因其具有诸如紧凑等优良特性支持的。 从
Matlab 中的实验角度出发，论文进行了讨论分析了基于二维小波的图像压缩应用。
关键词：小波变换；医学图像；压缩编码；MATLAB
ABSTRACT
New imaging methods such as multi-layer imaging increase the amount of data.
Computed tomography scanners and magnetic resonance imaging have demonstrated
the use of lossy, compression techniques, reduced storage costs, improved efficiency,
and have been widely used in teleradiology or access to electronic medical record
network transmissions. Image compression was first used to process limited memory.
The first large-scale image of personal computers and color files proposes and develops
a compression algorithm based on wavelet transform suitable for medical imaging.
Wavelet compression, called Discrete Wavelet Transform (DWT). Treat images as
signals or waves for conversion, quantization, and coding. After the image is
transformed, the resolution or details are reduced, and the details and edges of the
medical image are preserved to achieve the purpose of compression. Then the medical
image information can be reconstructed by inverse transform. As one of the most
significant tools, wavelet performance is superior to Discrete Fourier Transform (DFT)
or Discrete Cosine Transform (DCT) image processing because of its excellent features
such as compactness. From the experimental point of view in Matlab, the paper
discusses and analyzes the application of image compression based on two-dimensional
wavelet.
Key words: wavelet transform, medical image, compression coding, MATLAB.
目录
ABSTRACT ...................................................4
1.1 课题研究背景与意义........................................................................................................1
1.2 课题研究现状....................................................................................................................2
1.3 课题研究内容与结构安排 ................................................................................................2
第二章 医学图像压缩编码 ....................................1
2.1 图像压缩类型....................................................................................................................1
2.2 图像压缩方法...................................................................................................................2
2.3 图像压缩方法评估...........................................................................................................3
第三章 小波变换 ............................................5
3.1 基本理论............................................................................................................................5
3.2 图像小波变换....................................................................................................................6
3.3 图像多分辨率分析...........................................................................................................8
第四章 基于小波变换的医学图像压缩 ..........................9
4.1 基于小波变换的医学图像压缩 ........................................................................................9
4.2 小波基的选取..................................................................................................................10
4.2.1 小波基特征分析.........................................................................................................11
4.2.2 常用小波函数特征.....................................................................................................12
4.3 小波基函数选择的原则.................................................................................................13
第五章 基于小波变换的医学图像压缩仿真 .....................15
5.1 MATLAB 基础....................................................................................................................15
5.2 设计流程和 GUI 界面.....................................................................................................16
5.3 仿真结果..........................................................................................................................17
结束语 ....................................................21
致 谢 ....................................................22
附录 X.....................................................24
