摘要在社会高速发展的今天,人们更加追求体验和效果,手机屏幕的PPI一增又增,就是希望能使图像更加细腻,更能符合人眼的要求。而在红外成像领域,由于这是一种热辐射的二维反映,所成的红外图像也仅仅是黑白的灰度级图像,没有色彩,更没有细节可言,这明显不符合人类对高体验和细节极致的追求。因此,对红外图像的图像处理就成了一个理所当然的课题,这其中最为常见的便是对图像进行伪彩色处理,使图片的信息量大大提高。65162
本文运用了伪彩色编码基本原理,结合HSI-RGB转换的基本方法,借助于MATLAB处理工具提出了一种基于HSI空间的伪彩色编码算法,并输入灰度图像进行了仿真,得到了几幅伪彩色图像对比图。最终的结果是,所得到的图像颜色温和,符合人眼感知效果,并且图像对比度和层次感得到了增强。因此得出了使用HSI颜色空间进行伪彩色处理是会使得图像更加符合视觉特性的结论。
第一章首先对课题所面临的任务和课题研究意义进行了阐释,然后对红外图像目标特性,红外成像的原理与红外图像的特征作了比较全方面的介绍,重点包括伪彩色处理进行了知识的阐述,这是完成课题的背景。
接下来在第二部分对伪彩色编码处理进行了展开,作了详尽的介绍,对伪彩色编码原理进行了阐释,介绍了几种常见的伪彩色处理办法,再然后,我通过对当今各个研究者的研究成果的了解,简要阐述了几个比较新型的伪彩色编码方法,这些方法在基础编码的方法上作了改进,。
第三部分就进入到了本课题所进行的基于HSI空间伪彩色编码部分,在进行该部分编码之前重点介绍了HSI空间到RGB空间的变换,接着就是用MATLAB对算法进行的具体介绍和仿真,希望通过比较得出结果。
最后对整个算法进行了一个总结,并针对伪彩色对人眼感知的符合程度,进行了客观的评价,得出某些有用的结论。
毕业论文关键词 红外成像 HSI颜色空间 感知特性 伪彩色编码
毕业设计说明书(论文)外文摘要
Title Pseudo - color Coding Method and Its Implementation Of Infrared Image
Abstract
In the rapid development of society nowadays,people seek more experience and effects. The PPI on phone screens is in sustained growth,it is hoped to make the image more delicate,more in line with the requirements of human eye. In the infrared imaging fields, since this is a two-dimensional reflection of heat radiation. This clearly does not meet the high human experience and detail the ultimate pursuit. Therefore, the infrared image of the image processing task becomes a matter of course, and the most common of which is the pseudo-color image processing.In Chapter One,we firstly illustrate the task of the subject and research significance we faced with,by proposing a pseudo-color coding approach based on perceived color space enables the converter to get the pseudo-color image detail legibility,goals more easily identified, more in line with most people's color perception habits.Then in the second part of the article we conducted a pseudo-color coding process unfolded, and made a detailed introduction . We conducted a pseudo-color coding theory interpretation , and introduced several common pseudo-color processing methods . Finally I made a summary of the entire algorithm, and made an objective evaluation for the pseudo-color on the human eye perceives the degree of compliance , draw some useful conclusions.
Keywords Infrared imaging HSI color space perceptual characteristics pseudo-color coding