中文摘要：

提出一种基于多均值正态分布的直方图规定化算法,以图像的灰度平均值作为首个高斯峰均值,计算出后续值,以图像的对比度作为所有高斯峰的均方差,通过峰值增益加以调节。以形成的多均值正态分布作为直方图变换函数,将直方图约束成多均值正态分布形式。实验证明,基于多均值正态分布规定化处理,不仅有选择地对某灰度范围进行局部对比度增强,而且能改善图像的灰度平均值,从而增强图像的视觉效果,层次丰富,细节明晰。

英文摘要：

This paper proposes the algorithm of histogram specification based on multi-means normal distribution function.In order to get the function,the average of image gray is treated as the first mean that can produce a series of other means,and the contrast of image is taken as variance controlled by Gaussian peak gain.The multi-means normal function is taken as histogram transformation,and the image histogram is constrained into the form of multi-means normal distribution.Experiment shows that the algorithm can not only enhance the image contrast selectively and locally but also improve mean of image,thereby to get the best optical effect.