摘要图像处理的研究工作一直在进行中,特别是图像的数据量巨大,研究者在传输速度和获得图像的效果上不断追求高水平，所以图像压缩编码是图像处理中相当重要的一步，压缩中必须要保证降低失真的程度。在近年来,军事领域中红外夜视技术的应用越来越受到关注。通过红外热成像系统可以得到红外图像,红外图像因与可见光图像不完全相同,有其独特的性质,在传输和处理图像的过程中更需要注意，必须根据它的特点找到适宜的算法。59623

本文首先分析了红外图像的特点，然后概述了有关红外图像压缩编码的理论基础，介绍了图像压缩编码理论的发展过程以及编码的分类，接下来利用matlab实现图像压缩，先讨论通过离散余弦变换进行图像压缩,以及对利用小波变换进行的图像压缩给以研究。

毕业论文关键词  图像压缩  离散余弦变换  红外图像  小波变换   matlab

毕业设计说明书（论文）外文摘要

Title  Research on Compression Algorithm of infrared   Image                            

Abstract Research of image processing has been in progress, Researchers continue to pursue high level in the transmission speed and obtain the image effect.

So the image compression coding is very important in image processing step, we must guarantee the distortion reduction degree of compression. In recent years, application of infrared night vision technology in military field more and more prepared attention. Through the infrared thermal imaging system can get the infrared image, Infrared image characteristic properties different from the visible light image .In the process of transmission and processing of the image requires more attention, according to its characteristics to find suitable algorithm.

     This paper first analyzes the characteristics of infrared image, then it summarizes the theories about infrared image compression coding, and introduces the process of the development of image compression coding theory and code classification. Implementation of image compression using matlab, respectively for the discrete cosine transform and wavelet transform are studied and discussed.

Keywords  Image Compression  DCT light level image Wavelet Transform  MATLAB

 目次

1 引言 1

1.1红外成像技术及红外图像特点 1

1.2红外图像特点及性质 2

1.3 MATLAB软件简介 5

1.4图像压缩编码技术的发展概况 6

1.5本文研究的主要内容 7

2 红外图像压缩编码理论基础 8

2.1 图像压缩编码的基本原理 8

2.2图像压缩编码的基本方法 9

2.3图像压缩标准 11

3 基于DCT的图像压缩编码算法 12

3.1 DCT变换基本原理 12

3.2 DCT变换在EG图像压缩中的应用 14

3.3MATLAB实现DCT的图像压缩编码 19

4 基于小波变换的图像压缩编码算法 20

4.1小波（WAVELET）变换 21

4.2小波变换在图像压缩中的应用 23

4.3基于小波变换的图像压缩的MATLAB实现