参考一个大神的美肤公式：

Dest =(Src * (100 - Opacity) + (Src + 2 * GuassBlur(EPFFilter(Src) - Src + 128) - 256) * Opacity) /100

OpenCV3实现算法如下：

```python

# -*- coding: utf-8 -*-

'''

美肤-磨皮算法

Dest =(Src * (100 - Opacity) + (Src + 2 * GuassBlur(EPFFilter(Src) - Src + 128) - 256) * Opacity) /100 ;

'''

import cv2

import numpy as np

def beauty_face(img):

dst = np.zeros_like(img)

#int value1 = 3, value2 = 1; 磨皮程度与细节程度的确定

v1 = 3

v2 = 1

dx = v1 * 5 # 双边滤波参数之一

fc = v1 * 12.5 # 双边滤波参数之一

p = 0.1

temp4 = np.zeros_like(img)

temp1 = cv2.bilateralFilter(img,dx,fc,fc)

temp2 = cv2.subtract(temp1,img);

temp2 = cv2.add(temp2,(10,10,10,128))

temp3 = cv2.GaussianBlur(temp2,(2*v2 - 1,2*v2-1),0)

temp4 = cv2.add(img,temp3)

dst = cv2.addWeighted(img,p,temp4,1-p,0.0)

dst = cv2.add(dst,(10, 10, 10,255))

return dst

img = cv2.imread('../datas/s3.png')

dst = beauty_face(img)

cv2.imshow("SRC",img)

cv2.imshow("DST",dst)

cv2.waitKey()

cv2.destroyAllWindows()

(wujuxKkoolerter)