摘要
提出了一种新的彩色图像高斯滤波算法EPGF,该方法从人眼视觉感知中的彩色细节失明及同时对比特性出发,根据像素间的色差和位置关系共同确定高斯权值,使算法对区域内部进行平滑的同时,保持区域间的边缘不变。给出了各种滤波结果的主观和客观的对比,实验结果表明了算法的有效性。
This paper presents a new Gaussian filtering algorithm,namely EPGF,for colour images.The proposed method utilises the human visual mechanism of colour detail blindness and the character of simultaneous contrast,and then decides the Gaussian mask jointly according to the colour difference and the location between adjacent pixels.The proposed method can maintain the edges between areas unchanged while smooth the image inside area.Different filtered results are provided with their subjective and objective contrasts.Experimental results show the validity of the proposed method.
出处
《计算机应用与软件》
CSCD
2010年第1期83-84,120,共3页
Computer Applications and Software
基金
天津市自然科学基金项目(05YFJMJC09200)
关键词
高斯滤波
图像平滑
色差
双边滤波
Gaussian filtering Image smoothing Colour difference Bilateral filtering
