摘要红外网络视频监控系统,采用主动红外CCD作为摄像头,克服普通摄像头只能在光线较亮时才能实施监控的缺点,实现全天候监控,对于监控报警领域产品的开发和应用具有很大的现实意义。64590
本课题针对红外网络视频传输中需要用到的图像编解码过程,研究常用的视频编解码算法,选择了基于小波变换的图像压缩算法,降低了视频图像的冗余度,实现了红外图像的高效率高质量传输。小波分析是当前数学中一个迅速发展的新领域,有着十分广泛的应用。而基于小波的图像压缩技术是一种高效、快速的图像压缩算法,有着十分显著的优点:其一,当降低算法计算和执行的复杂性时依然可以获取最佳的压缩效果;其二,在运算过程中保持了小波分解的简单性。64590
毕业论文关键词 图像压缩 小波变换 视频编解码 Matlab
毕业设计说明书(论文)外文摘要
Title The research of video coding and decoding technology of infrared Monitoring network system
Abstract The infrared network video monitoring system, using CCD as the active infrared camera, to overcome the ordinary camera can only in the light is bright to monitor the implementation of the shortcomings, to achieve all-weather monitoring, has great practical significance for the development and application of monitoring alarm products.
The topic for the infrared network video transmission needs to use the image coding and decoding process, the study of common video codec algorithm, the image compression algorithm based on wavelet transform, reduces the redundancy of the video image, realize high efficiency, high quality transmission in infrared image. Wavelet analysis is a rapidly developing new field in modern mathematics, has a very wide range of applications. Based on the wavelet image compression technology is an efficient, fast image compression algorithm, has the notable advantages: first, when the complexity of calculation and to reduce the execution algorithm still can obtain the best compression effect; secondly, in the process of operation to maintain the wavelet simple solution.
Keywords Image compression Wavelet transform Video coding and decding Matlab
1 绪论 1
1.1 本文研究背景及意义 1
1.2 本文的研究工作 2
2 图像压缩概论 3
2.1 图像压缩定义 3
2.2 图像压缩的可能性 3
2.3 图像压缩编码分类 3
3 基于小波变换的图像压缩 5
3.1 小波分析 5
3.2 基于小波变换的静止图像压缩算法 5
3.2.1 小波变换的定义 5
3.2.2 二维小波 5
3.2.3 静止图像的小波变换压缩算法 7
3.3 几个典型的小波变换编码器 9
3.3.1 嵌入式零树小波编码编码器 9
3.3.2 多级树集合分裂算法编码器 9
3.3.3 分割嵌入式块编码编码器 10
3.3.4 基于上下文的嵌入式零块编码算法 10
4 基于小波变换的视频编码技术 11
4.1 三维小波变换 11
4.1.1 基于时域信息变换的三维小波变换 12
4.1.2 基于空域信息变换的三维小波变换 13
4.1.3 基于时空域信息变换的三维小波变换 14
4.2 三维小波变换的视频压缩算法介绍 14