[1]王建卫,曲中水.灰度图像对比度提高方法及其评价[J].计算机技术与发展,2018,28(10):119-123.[doi:10.3969/ j. issn.1673-629X.2018.10.025]
　WANG Jian-wei,QU Zhong-shui.Gray Image Contrast Enhancement Method and Its Evaluation[J].,2018,28(10):119-123.[doi:10.3969/ j. issn.1673-629X.2018.10.025]
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灰度图像对比度提高方法及其评价()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年10期
页码:
119-123
栏目:
智能、算法、系统工程
出版日期:
2018-10-10

文章信息/Info

Title:
Gray Image Contrast Enhancement Method and Its Evaluation
文章编号:
1673-629X(2018)10-0119-05
作者:
王建卫1; 曲中水2
1. 东北林业大学 机电工程学院,黑龙江 哈尔滨 150040; 2. 哈尔滨理工大学 计算机科学与技术学院,黑龙江 哈尔滨 150080
Author(s):
WANG Jian-wei1 ; QU Zhong-shui2
1. School of Mechanical and Electrical Engineering,Northeast Forest University,Harbin 150040,China; 2. School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,China
关键词:
灰度图像; 对比度提高; 客观质量评价; 非线性变换
Keywords:
gray image; contrast enhancement; objective quality assessment; nonlinear transformation
分类号:
TP391.40
DOI:
10.3969/ j. issn.1673-629X.2018.10.025
文献标志码:
A
摘要:
为了解决低照度图像的对比度提高问题,依据基于像素的图像处理理论,研究应用非线性变换提高灰度图像对比度的方法。在分析对数变换效果的基础上,提出了基于幂函数的非线性变换的灰度图像对比度提高算法,并通过大量的实验数据说明了算法的参数范围。为了客观地评价灰度图像对比度提高的质量,定义了度量增强后图像的对比度与原图对比度的比例关系的对比度增量参数,给出了亮度、标准差、对比度增量等参数的主要计算公式。 实验中实现了三种典型的基于幂函数的非线性变换的对比度提高算法,与低照度的原图像相比较,结果图像更有利于人眼观察,且对比度提高程度明显,与对数变换相比较具有算法执行速度快、易于实现和适用性强的优点。
Abstract:
In order to solve the problem of enhancing the contrast of low illumination images,according to pixel-based image processing theory,we study a method for improving the contrast of gray image by using nonlinear transformation. On the basis of analyzing the effect of logarithmic transformation,we propose an improved algorithm of gray image contrast enhancement based on nonlinear transformation of power function. And the parameter range of the algorithm is illustrated by a large number of experimental data. In order to objectively evaluate the quality of gray image contrast enhancement,the contrast increment parameter is defined which measures the contrast ratio between the original image and the result image. The main formulas of the parameters such as brightness,standard deviation and contrast increment are given. The three typical contrast enhancement algorithms based on power function nonlinear transformation are implemented in the experiment. Compared with original image of low illumination,the results image is more conducive to human eye observation,and the contrast is improved significantly. Compared with logarithmic transformation,the algorithm has the advantages of faster execution,easier implementation and stronger applicability.

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更新日期/Last Update: 2018-10-10