基于Matlab的色彩增强技术研究
关键词 图像增强 彩色图像 时域 频域 Matlab
毕业论文设计说明书外文摘要
Title Color Enhancement Techique based on Matlab
Abstract
To achieve the desired color images for practical application, the need to filter out or suppress unnecessary information, but also to make useful color information to be further strengthened to enhance the image of the viewing experience and visual senses, so that the image is more conducive to the future of the human eye identification of the machine and.This paper explores the pseudo-color enhancement, true color enhancement and false color enhancement in three different color enhancement means.Simulation results show that the pseudo-color enhancement mode has a simple approach, the advantages of easy to implement, and can also impart new gray scale image, continuity relatively strong color, but it has a very big disadvantage that you can not restore the original image has the original color.The true color enhancement, it has the advantage that during the processing of the original color image can be more complete picture of reservation.However, in some cases, using True Color Enhanced mode will make the image distortion increases the case, so be careful to use this method. It also analyzes the Gamma Correction This color enhancement technique for a color picture of the impact by adjusting the size of the Gamma factors that can make the entire color picture of the distribution of light and dark and can get a very good improvement. False color enhancement mode only made conceptual discussion and presentation, specific reference to its special case - a pseudo-color enhancement.
Keywords Image enhancement; Color image; Time domain; Frequency domain; Matlab
目 次
1 引言 1
1.1 课题研究目的与意义 1
1.2 国内外发展以及研究现状 1
1.3 本课题的研究内容 2
2 彩色图像概念与色彩增强的处理方式 4
2.1 基本概念 4
2.2 处理工具 4
2.3 伪彩色增强 4
2.4 真彩色增强 8
2.5 假彩色增强 11
3 仿真程序实现与结果分析 13
3.1 伪彩色增强 13
3.2 真彩色增强 15
结 论 18
致 谢 19
参考文献20
1 引言
1.1 课题研究目的与意义
在人类日常生活中，我们有大部分的信息都是通过图像来传递[2]。图像信息可以说是占据了我们日常所获的信息的极大的比例。然而，在实际的情况下，由于光照强度的问题，我们有时会发现所获得到的图像的亮度以及对比度不能到达我们所需的标准。在我们接触的图像中，有彩色图像和灰度图像，而其中，彩色图像无论是从包含信息，观察体验，还是以后工作中的图像分析和理解都要强上灰度图像很多倍。因此，为了让我们能得到理想的彩色图像供我们进行科研工作与实际生产工作，我们就要将彩色图像中的不必要的信息给抑制或过滤掉，同时也要让有用的色彩信息得到进一步的加强，提升图像的观赏体验与视觉感官，使得图像更有利于日后人眼与机器的识别[3]。因此，本课题的实际应用意义不容小觊。
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