摘要为了改善图像的视觉效果,提高图像的分辨率,增强图像的特征,本课题利用了多种方法相结合的方式来实现。首先,本课题利用点运算提高了图像的对比度,然后,通过空域图像平滑的方法来减小噪声,通过图像边缘锐化来清晰细节,通过伪彩色处理来提高图像的识别度,最后,通过同态滤波进行了频率域的增强。本课题仿真结果表明该方法利用多种算法的相互弥补,不仅减小了噪声,同时也清晰了边缘,进行了滤波处理并且使得对比度提高,突出了图像的特征,取得了比较理想的效果。66763
毕业论文关键词 图像平滑 图像锐化 点运算 同态滤波 伪彩色
毕业设计说明书(论文)外文摘要
Title Infrared Image Enhancement Technology
Abstract
To improve image visual effects, improving image resolution, enhancing image features, the subject method utilizes a combination of a variety of ways. First, i improve image contrast by the use of point operations. Then I passed the airspace image smoothing method to reduce noise coming through the image edge sharpening sharp detail, through pseudo-color processing to improve the degree of image recognition, finally, through the homomorphic filter for enhancement of the frequency domain. The simulation results show that this method subject using a variety of algorithms complement each other, not only reduces noise, but also clear edge, and makes the filtering process carried out to improve the contrast, highlights the characteristics of the image, and achieved satisfactory results.
Key words: image smoothing image sharpening point operations
homomorphic filtering pseudo-color
目次
1. 引 言 6
1.1 红外成像技术发展现状 6
1.2 红外图像增强技术发展现状 7
2.红外图像的特点 7
2.1 红外图像的对比度和分辨率 8
2.1.1 红外图像的对比度 8
2.1.2 红外图像的分辨率 8
2.2 红外图像的直方图 8
2.2.1 直方图 8
2.2.2 红外直方图 9
3.图像增强技术 9
3.1 点运算 10
3.1.1灰度级变换 10
3.1.2灰度变换 11
3.2 空域图像平滑 16
3.2.1噪声消除法 16
3.2.2邻域平均法 17
3.2.3 中值滤波 18
3.2.4梯度倒数加权 19
3.3 图像边缘锐化 20
3.3.1梯度法 21
3.3.2 Laplacian算子 23
3.3.3统计差值法 24
3.4 伪彩色技术 25
3.5 频率域增强处理