MATLAB红外图像超分辨率算法研究+POCS算法
本文主要着重于红外图像超分辨率算法研究。文章开始介绍了超分辨率的发展情况，然后介绍了红外成像系统的分类、组成部分、工作原理及影响红外图像分辨率的主要因素。从典型的红外成像系统数学模型出发，研究了目前常用的超分辨率算法。本文先介绍了常用的单帧图像超分辨率算法，总结了其优缺点。着重讨论运用POCS算法对红外低分辨率图像序列进行超分辨率处理。在对各种超分辨率算法进行探讨的基础上，对低分辨率红外图像序列进行灰度拉伸、双线性插值、基于特征的图像配准、POCS算法迭代运算处理，得到超分辨率图像。运用MATLAB进行了POCS算法的仿真实验，总结其优缺点，并提出改进。10851
关键词 红外图像，超分辨率，图像重建，POCS
毕业设计说明书（论文）外文摘要
Title Infrared image super-resolution algorithm
Abstract With the rapid development of computer technology, information processing technology and visual communication technology, people now are embracing a new information era. Digital image processing technology, one of the most important parts in information processing technology, has been applied broadly in different kinds of fields. Since high-resolution images are oftenly required, improving image's resolution is the goal in the field of image acquisition.
This paper chiefly emphasizes the algorithm research of infrared image's super-resolution. At the beginning of this paper, the development of image's super-resolution is introduced. Then, the paper introduces the sorts, composing parts, working principle of infrared imaging system and the main factors that effect infrared image's dimensional resolution. Based on the typical infrared imaging system's mathematical model, several kinds of common super-resolution reconstruction algorithms are discussed and compared. Firstly, we introduce super-resolution from a single image, together with its advantages and disadvantages. Secondly, depending on the discussion of different kinds of super-resolution reconstruction algorithms, we process the infrared image by gray stretching, bilinear interpolation, base-on-characteristics image registration, iterative computation with POCS, and end up with a super-resolution image.
Keywords infrared image, super-resolution, image reconstruction, POCS
目 次
1 绪论 1
1.1 超分辨率图像的国内外发展状况 1
1.2 超分辨率图像的应用领域 2
1.3 红外图像超分辨率的基本理论 2
1.4 文主要研究工作 2
2 红外成像技术 4
2.1 红外成像的发展概况 4
2.2 红外成像的工作原理以及组成部分 4
2.3 红外成像系统的分类 5
2.4 红外探测器的分类 6
2.5 红外图像的特点以及影响的主要因素 6
3 超分辨率图像算法研究 8
3.1 超分辨率的理论基础 8
3.1.1 超分辨率重建的数学物理基础 8
3.1.2 奈奎斯特采样定理 9
3.2 基于单帧图像重建的常见算法研究 11