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

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。

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.