基于人眼频率特性的分形增强算法

Fractal enhancement algorithm based on frequency characteristics of human eyes

提出了一种基于人眼频率特性的分形增强算法,通过计算分形维和人眼感知频率范围选择需要增强的图像细节,依据人眼灰度分辨特性对图像细节进行增强。首先,将人眼频率特性和分形维数相结合对图像进行增强。在频率域范围内计算出人眼感知的图像空间频率,通过频域滤波得到人眼敏感的图像区域,并结合分形维数的理论值对图像进行增强。其中,计算像素点的分形维数是用改进后的计算方法,即采用了5×5的模板和欧式距离。另外,提出了一种基于人眼灰度分辨特性的图像增强新方法。在不同的灰度范围内,人眼对灰度的分辨能力不同,利用这一特性对红外图像进行增强,使得人眼敏感的细节部位更加突出,相比于传统的增强算法图像更适合人眼的观察。

A fractal enhancement algorithm based on frequency characteristics of human eyes is proposed.First of all,combining the frequency characteristic of human eye with fractal dimension,the images are enhanced.Then,the spatial frequency of human eye perception is calculated in frequency domain,and the sensitive image region of human eye is obtained by frequency domain filtering,and the images are enhanced by using the theoretical value of fractal dimension.This method uses a model with a size of 5×5 and Euclidean distance.In addition,a new enhancement method based on the gray scale resolution characteristics of human eye is proposed.In the range of different gray levels,human eye＇s resolution to grayscale is different.Using this characteristic,the sensitive details of the eye is more prominent.Compared with the traditional algorithm,the proposed enhancement algorithm is more suitable for human eye.