基于改进粗糙集的低照度遥感图像对比度增强方法
Contrast enhancement method of low-illumination remote sensing image based on improved rough set
石琳1
作者信息
- 1. 开封文化艺术职业学院 文化传媒学院,河南 开封 475004
- 折叠
摘要
为解决图像增强后存在的噪声问题,文章提出基于改进粗糙集的低照度遥感图像对比度增强方法.该方法先基于改进粗糙集进行低照度遥感图像预处理,后自适应调整低照度遥感图像,采用提高饱和度、恢复色彩等操作,完成对图像的对比度增强处理.实验结果表明,文章所提方法的应用使图像的对比度指标得到了显著提升,应用效果更优.
Abstract
In order to solve the noise problem after image enhancement,this paper proposes low illumination remote sensing image contrast enhancement based on improved rough set.This method first carries out the low illumination remote sensing image preprocessing based on the improved rough set,and then adjusts the low illumination remote sensing image adaptively,so as to realize the operation of improving saturation and restoring color,and completes the contrast enhancement processing of the image.The experimental results show that the contrast index of the image is significantly improved,and the application effect is better.
关键词
图像对比度增强/遥感技术/低照度遥感图像/改进粗糙集Key words
image contrast enhancement/remote sensing technology/low illumination remote sensing image/improved rough set引用本文复制引用
出版年
2024
NETL
NSTL
万方数据