MATLAB微光图像增强的算法研究+文献综述
关键词 图像增强 灰度变换 直方图变换 平滑 锐化 MATLAB9174
毕业设计说明书（论文）外文摘要
Title Algorithm of shimmer image enhancement
Abstract
With the development of image processing technology in recent years, low light level image enhancement has become more and more in-depth study. Image enhancement is a low-level processing of the image, in the preprocessing stage of image processing. re．It is one step of image processing in the sense of low-grade process，and plays an important role．The final enhancement result directly determines success or failure of the subsequent image processing in the sense of high—grade process.
This paper first introduces the research background, the applications and the development of shimmer image enhancement. And then it focus on several methods to enhance in-depth study such as gray level transformation, histogram transform, image sharpening and smoothing. At last, design the algorithm to enhance the low light level image using MATLAB software, derive the advantages and disadvantages of various image enhancement algorithms, through the comparing of the experimental results.
Keywords night vision image; image enhancement; median filter; histogram equalization
Keywords images enhanced gray-scale transformation histogram transformation smooth sharpening
目 次
1 绪论 4
1.1 选题背景 4
1.2 应用领域 5
1.3 研究与发展状况 6
1.4 本文所做的工作 6
2 图像增强的基本理论 7
2.1 数字图像处理的概述 7
2.2 图像的数字化 7
2.3 图像增强的概述 7
3 图像增强的基本方法和原理 8
3.1 空域增强变化 8
3.2 空域滤波增强 13
3.3 频域增强 16
3.4 色彩增强 18
4 图像增强的MATLAB算法与实现 19
4.1 对比度（灰度）扩展以增强图像 19
4.2 直方图处理 20
4.3 图像间的代数运算 23
4.4 平滑滤波 26
4.5 锐化滤波 29
4.6 低通滤波 30
4.7 高通滤波 32
结 论 35
致 谢 36
参 考 文 献 371 绪论
1.1 选题背景
图像作为人类感知世界的视觉基础，是人类获取信息、表达信息和传递信息的重要手段。一般来说，凡是能为人类视觉系统所感知的有形信息，或人们心目中的有形想象都统称为图像。一幅图像可定义为一个二文函数f(x, y)，其中，x和y是空间坐标，而在任何一对空间坐标(x, y)处的幅值f称为图像在该点处的强度或灰度。在x, y和灰度值f是有限的离散数值时，我们称该图像为数字图像。
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