摘要
为了解决基于RGB颜色模型的强噪声彩色图像空域恢复方法的丢失细节问题,依据分解彩色图像得到的三个分量在相关处理后可合成为彩色图像的理论,采用图像的基于像素点的空域处理理论,研究了受强噪声污染的彩色图像的点处理恢复方法。设计了基于RGB颜色模型的彩色图像分量的点处理恢复算法,给出了根据噪声强度调用该算法依次恢复R分量、G分量和B分量的过程。实验结果表明,与经典的空域滤波器比较,基于像素点的空域处理具有保持图像细节的优点,适用于解决基于RGB颜色模型的强噪声彩色图像的恢复问题。
In order to solve the missing details problem on restoration method of color image based on RGB color model with strong noise,according to the theory that decomposing color image to be processed can be composed to new color image,using the theory of spa-tial processing based on pixel for image,research the point processing restoration approach polluted by the strong noise for color image. The color image component restoration algorithm is designed based on RGB color model. And the algorithm on R,G and B is given by call the above algorithm according to the noise intensity. The experimental results show that the algorithm has the advantage of keeping more details. Compared with the classical spatial filters,it is applicable to solve the restoration problem of color image based on RGB col-or model with strong noise.
出处
《计算机技术与发展》
2014年第5期61-64,69,共5页
Computer Technology and Development
基金
黑龙江省教育科学技术研究项目(12521101
12533020)
关键词
彩色图像
噪声强度
空域
图像恢复
color image
noise intensity
spatial domain
image restoration
