摘要超分辨率图像重建是指将一系列各自包含一部分不同图像细节的相似低分辨率图像通过一定方法融合成一幅高分辨率图像的处理方法。对于一定的数字成像系统，通过超分辨率图像重建可以得到高质量的图像而不需要提高系统的硬件性能，因此它可以被广泛应用于图像处理的各种领域中。64230

超分辨率图像重建算法可以分为两大类，即频域算法和空域算法。频域算法是早期的超分辨率重建算法，只能对全局位移的图像序列进行处理，空域算法使用通用的观察模型，具有更好的适应性和重构效果，是目前的主要研究方向。其中POCS算法利用投影至凸集的原理进行图像重建，算法直观而且有效，是最有前途的超分辨率重建算法之一。

在超分辨率图像重构中，将来自不同的传感器、不同时间获取的图像进行高精度快速配准是其关键技术之一。考虑实际图像的配准速度和精度问题，应用仿射变换，建立图像的平移和旋转参数模型，而不考虑缩放参数。 

毕业论文关键词：超分辨率复原，凸集投影，图像配准，仿射变换

ABSTRACT Super-resolution image restoration is a method that combines multiple similar but not identical low-resolution images into a higher resolution single image. In a particular digital imaging system , using super-resolution methods can help to obtain higher quality images without up grading system hard- ware ,therefore super-resolution techniques can be applied to vast image-processing areas.

Super-resolution techniques can be pided into two main categories : frequency domain methods and spatial domain methods. Frequency domain methods are earlier super-resolution methods , they can only deal with image sequences that only translational motions are allowed. Spatial methods use general observation models , they have better adaptability and performance. In POCS method ,projection onto convex sets theories is employed to realize super-resolution restoration ,it is intuitive in theoretical and has good reconstruction performance. POCS is one of the most promising super-resolution restoration methods.

In the super-resolution image reconstruction,  from different sensors, at different times to obtain an image of high accuracy and fast registration isone of the key technologies. Consider the actual image registration speed and accuracy problem, apply the affine transformation, to establish the image of translation and rotation parameter model, regardless of the scaling parameters.

Key words：super-resolution restore, projection onto convex sets ,        image registration  ,  affine transformation

中文摘要 Ⅰ

ABSTRACT Ⅱ

一绪论 1

  1.1 研究背景及研究意义 1

  1.2 图像超分辨率技术的应用 1

二 图像超分辨率技术算法研究 2

  2.1 超分辨率技术的概述 2

2.2 超分辨率技术的类型-----3

       1) 频域方法 3

        2) 空域方法 4

2.3几种常用的图像超分辨率方法 4

2.3.1 非均匀空间样本插值算法 4

2.3.2 基于集合论的方法—POCS凸集投影 5

2.3.3 迭代反投影法IBP 5

2.3.4 最大后验概率估计法 5