摘要图像增强能凸显图像中需要观察的目标信息，并除去或抑制一些图像中不必要的信 息，以此来提高图像的品质，它是一种基础的图像处理技术。比如，增强图像中的高频 部分，可以让图像中的观察目标的轮廓更加清楚。图像保真不作为图像增强的原则，它 的目的有二：一是使图像的视觉效果更加优质，提升图像清晰度；二是令计算机更容易 完成对图像的处理，比如通过锐化技术可凸显图像的轮廓，便于分析图像的各个特征。 图像增强的作用域有所不同，根据作用域可将图像增强技术分成空域增强技术和频域增 强技术。直接在图像的像素域处理图像的是空域增强技术，在图像的变换域内处理图像， 然后再经过逆变换获得增强以后的图像的是频域增强技术。73292
本文概述了空域增强的两种主要方法，包括点运算和邻域增强，并以这些方法为基 础，提出一种基于加权直方图均衡化的红外图像增强算法，能够有效除去明显的噪声干 扰，使图像的细节特性更加突出，并提高图像的对比度，具有良好的实用价值。
毕业论文关键词 增强 红外图像 直方图均衡化 加权
毕 业 设 计 说 明 书 外 文 摘 要
Title Study on Algorithm of infrared image enhancement technology
Abstract Image enhancement is a kind of basic image processing technology, in order to highlight some of the information in the image, and restrain or remove some unwanted information to improve the quality of image processing method。 For example, if we strengthen the high frequency component of the image, the image object contour will be more clear。 Image enhancement is not the principle of image fidelity, and its main purpose is twofold: First, to improve the visual appearance of the image and improve image clarity; second is to make the image becomes more conducive to computer processing, such as sharpening process by highlighting image edge contour for analysis of various features。 According to the scope of different enhancement, image enhancement can be pided into spatial enhancement methods and frequency domain methods to enhance。 Spatial enhancement refers to direct treatment in the pixel domain, frequency domain and transform domain refers to enhanced image processing on the image, then the image can be enhanced in the future after the inverse transform。 This paper outlines the spatial image enhancement of several main methods, including point operations and neighborhood enhancement, and on the basis of these methods presents a kind of infrared image enhancement algorithm based on weighted histogram equalization, it can effectively go out strong noise interference, enhance the characteristics of the image detail, and improve the contrast of the image, has good practical value。
Keywords Strengthen Infrared image Histogram equalization Weighted
本科毕业设计说明书 第 I 页
目 次
1 引言 1
1。1 红外图像增强的研究背景及意义 1
1。3 发展趋势 2
1。4 本课题的主要研究工作 2
1。5 本章小结 3
2 红外图像增强技术算法研究:http://www.youerw.com/tongxin/lunwen_83593.html