摘要
针对彩色图像的平滑滤波问题,提出了基于DFT变换的平滑滤波算法。该算法的基本思想是提取彩色图像的各分量,分别对每幅分量图像应用DFT频域滤波方法进行平滑,将各分量的滤波图像合成并显示。通过改变噪声类型和彩色空间模型,比较了采用DFT平滑滤波算法的平滑效果。实验结果表明,该平滑滤波算法对加入高斯和椒盐噪声的彩色图像均具有良好的滤波效果,其适用于RGB、NTSC、HSV、HSI彩色空间模型的平滑。
Aiming at the problems of the smoothing filter for color image, an image smoothing method based on discrete flourier transform is presented. The fundamental principle is that component images are extracted from a color image, and then filtering method of DFT frequency domain is used for component image to smooth, finally, the smoothed component images are synthe- sized and displayed. The method smoothing effects in different noise and the color space models are compared. Experiments show that the proposed method could have good smoothing effect for the added Gaussian and salt and pepper noise image and applied to RGB, NTSC, HSV, HSI color space model to smooth.
出处
《计算机工程与设计》
CSCD
北大核心
2014年第4期1327-1331,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61261044)
关键词
彩色图像
图像处理
平滑滤波
DFT变换
彩色空间
color image
image processing
smoothing filter
discrete flourier transform
color space
