摘要
提出一种估计图像噪声的方法 ,该方法用混合高斯概率密度模型拟合图像的小波系数中最高频率子带的直方图 ,用 EM算法估计模型的参数 ,选取其中最小的标准方差作为图像噪声标准方差 .用该方法能准确地估计图像高斯噪声的标准方差 ,尤其当图像的噪声比较弱时 ,该方法比传统方法更准确 .
A new method was proposed to estimate noisy image's quality. This approach uses Gaussian mixture model to simulate the histogram of the highest subband's coefficients in the wavelet domain. The parameters of this model can be calculated by EM algorithm. The smallest deviation of the Gaussian mixture model is selected as the noise deviation. The authors' proposed method can provide better result than the other traditional ones.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2001年第3期199-202,共4页
Journal of Infrared and Millimeter Waves
基金
国家自然科学基金 (编号 39870 194)资助项目&&
