美白磨皮搞笑图片处理

Posted 2021-02-21 linantelope

美白、磨皮、搞笑图片处理

PIL库学习总结：

 

PIL库支持图像存储、显示和处理，它能够处理几乎所有图片格式，可以完成对图像的缩放、剪裁、叠加以及向图像添加线条、图像和文字等操作。

 

1、功能：

 

（1）图像归档：对图像进行批处理、生成图像预览、图像格式转换等；

 

（2）图像处理：图像基本处理、像素处理、颜色处理等。

 

2、分类：（主要讨论image)

Image类：from PIL import Image

 

方法	描述
Image.open(filename)	根据参数加载图像文件
Image.new(mode,size,color)	根据给定参数创建一个新的图像
Image.frombytes(mode,size,data)	根据像素点data创建图像
Image.verify()	对图像文件完整性进行检查，返回异常

 

 

 

 

 

from PIL import Image
im = Image.open("C:UsersKDesktop	est1.jpg") # 读取图片
im.show() # 可视化

美白磨皮：

from PIL import Image
from PIL import ImageEnhance
import cv2
import numpy as np
 
 
# image = Image.open("C:UsersKDesktop	est1.jpg")
#image.show()
def BrightnessEnhancement(brightness):
    image = Image.open("C:UsersKDesktop	est1.jpg")
    enh_bri = ImageEnhance.Brightness(image)
#    brightness =1.5
    image_brightened = enh_bri.enhance(brightness)
    image_brightened.show()
 
def ContrastEnhancement(contrast):
    image = Image.open("C:UsersKDesktop	est1.jpg")
    enh_con = ImageEnhance.Contrast(image)
#    contrast =1.5
    image_contrasted = enh_con.enhance(contrast)
    image_contrasted.show()
 
def ColorEnhancement(color): 
    image = Image.open("C:UsersKDesktop	est1.jpg")
    enh_col = ImageEnhance.Color(image)
#    color =0.8
    image_colored = enh_col.enhance(color)
    image_colored.show()
 
def SharpnessEnhancement(sharpness):
    image = Image.open("C:UsersKDesktop	est1.jpg")
    enh_sha = ImageEnhance.Sharpness(image)
#    sharpness = 2
    image_sharped = enh_sha.enhance(sharpness)
    image_sharped.show()
 
def Filter(image):
    image =cv2.imread("C:UsersKDesktop	est1.jpg")
    Remove=cv2.bilateralFilter(image,0,0,10)
    cv2.imshow(‘filter‘,Remove)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
#    res = np.uint8(np.clip((1.2 * image + 10), 0, 255))
#    tmp = np.hstack((dst, res)) 
#    cv2.imshow(‘bai‘,res)
 
 
def WhiteBeauty(image,whi):
    image =cv2.imread("C:UsersKDesktop	est1.jpg")
    white = np.uint8(np.clip((whi * image + 50), 0, 255))
    cv2.imshow(‘bai‘,white)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
 
 
if __name__ =="__main__":
    filepath = "C:UsersKDesktop	est1.jpg"
    #原始图像
    brightness = 1.5
    contrast = 0.2
    color=1.9
    sharpness=0.1
    BrightnessEnhancement(brightness)
    ContrastEnhancement(contrast)
    ColorEnhancement(color)
    SharpnessEnhancement(sharpness)
    whi = 1.2
    image =cv2.imread("C:UsersKDesktop	est1.jpg")
    Filter(image)
    WhiteBeauty(image,whi)

 

原图：

 美白：