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。
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.
作者
石琳
SHI Lin(School of Culture and Media,Kaifeng Vocational College of Culture and Arts,Kaifeng 475004,China)
出处
《无线互联科技》
2024年第13期28-30,共3页
Wireless Internet Technology
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
image contrast enhancement
remote sensing technology
low illumination remote sensing image
improved rough set
