自适应权重的均值和快速中值滤波融合算法的研究
Research on Adaptive Weighted Algorithm Fusion of Mean Value and Fast Median Filtering Algorithm
李子旋 1杨宇 1黄双双 1赵雪寒 1董莹莹1
作者信息
- 1. 中国联合网络通信有限公司网络AI中心 南京 210000
- 折叠
摘要
针对传统的图像处理中的加权快速中值滤波和均值滤波存在的缺陷,提出一种新的带自适应权重系数的均值和快速中值滤波融合算法来优化图像处理过程,以满足现代目前安防监控系统实时、高质量、高清晰度的要求.该算法综合了快速中值滤波和均值滤波的优势,在提高图像处理速度的同时改善了图片的质量,对于智能视觉的应用与推广具有重要意义.
Abstract
Based on the shortcomings of weighted fast median filter and mean filter in traditional image processing,this paper puts forward a new mean value and fast median filtering fusion algorithm with adaptive weight coefficients is proposed to optimize the image processing process,in order to meet the high quality requirements of the modern security monitoring system.image processing is proposed to optimize the process of a new adaptive weight coefficient of mean and median filter fusion algorithm,in order to meet the real-time processing of high quality modern security monitoring system requirements.This algorithm combines the advantages of fast median filter and mean filter,which can improve the image processing speed and improve the quality of image.It is of great sig-nificance for the application and popularization of intelligent vision.
关键词
智能视觉/权重自适应/快速中值滤波/均值滤波Key words
intelligent vision/weight adaptive/fast median filter/mean filtering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