摘要
针对无人机遥感图像因雾霾影响而发生图像降质的问题,使用亮度均衡模型进行改善。亮度均衡模型基于HSI变换得到原始图像的亮度通道图像,使用亮度均衡滤波将亮度动态调整到合适的区间以达到去雾目的,再采用高斯模糊和色彩重塑处理对图像进行进一步优化。经过图像对比实验,处理后的图像均值更合理且标准差和熵等重要参数均较原图有所提升。实验结果表明,本文模型具备较好的去雾能力和视觉效果。
In view of the problem of UAV remote sensing image degradation due to haze impact,the brightness equalization model is used to improve the degraded image.The brightness equalization model obtains the brightness channel image of the original image based on HSI transformation.The brightness equalization filter is used to dynamically adjust the brightness to the appropriate interval for defogging,and then the image is further optimized by use of Gaussian blur and color reshaping.As shown by comparative experiment,the mean value of the processed image is more reasonable and the important parameters such as standard deviation and entropy are improved compared with the original image.The results of experiment demonstrate the proposed model has good defogging ability and visual effect.
作者
颜景顺
YAN Jing-sun(Guangxi Water and Power Design Institute Co.,Ltd.,Nanning 530023,China)
出处
《广西水利水电》
2022年第3期11-14,共4页
Guangxi Water Resources & Hydropower Engineering
关键词
数字图像处理
图像增强
无人机图像
HSI变换
亮度均衡模型
Digital images processing
images enhancement
unmanned aerial vehicle image(UAV image)
HSI transformation
brightness equalization model
