一种改进直方图均衡化的图像增强方法
An Improved Histogram Equalization Image Enhancement Method
沈洁 1梅劲松 1沈均贤1
作者信息
- 1. 南京航空航天大学自动化学院 南京 211106
- 折叠
摘要
针对图像在光照恶劣的环境中难以有效提取视觉特征的问题,论文提出一种自适应的改进直方图均衡化图像增强算法.首先将图像从RGB空间转化至HSV空间,得到明度特征图,并根据图像明度信息自适应调节亮度调节,并结合CLAHE算法进一步增强图像的亮度与对比度.实验结果表明,论文算法有效提高了图像在较为恶劣光照条件下的对比度、色彩度、熵值,使得图像更加清晰明了,色彩更鲜艳.
Abstract
In order to solve the problem that it is difficult to extract the visual features effectively in the badly-lit environ-ment,an adaptive and improved Histogram equalization algorithm is proposed in this paper.Firstly,the image is transformed from RGB space to HSV space,and the luminance is adjusted adaptively according to the luminance information of the image.The experi-mental results show that the proposed algorithm can effectively improve the contrast,color and entropy of the image,and make the image more clear and bright.
关键词
限制直方图均衡化/HSV彩色空间/图像增强Key words
histogram equalization/HSV color space/image enhancement引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据