摘要
提出基于双域分解的数字图像细节信息增强处理方法。经实验证明:采用该方法对数字图像作增强处理后,失真率始终保持在1%以下,PSNR值最高可超过30 dB,说明该方法增强后的图像失真率低,峰值信噪比高,对数字图像原始细节保留较好,增强效果较好。
This paper proposes a digital image detail information enhancement method based on double-domain decomposition.Experiments show that the distortion rate is always below 1%and the PSNR value can exceed 30dB after the digital image is enhanced by this method,which shows that the image enhanced by this method has low distortion rate,high peak signal-to-noise ratio,good preservation of the original details of the digital image and good enhancement effect.
作者
邵乐
Shao Le(Zhengzhou College of Traffic Technicians,Zhengzhou Henan 450000,China)
出处
《现代工业经济和信息化》
2024年第5期101-103,共3页
Modern Industrial Economy and Informationization
关键词
双域分解
数字图像
双边滤波器
离散小波变换
灰度值
double domain decomposition
digital image
bilateral filter
discrete wavelet transform
greyscale/grayscale
