#图片美化
#  直方图  直方图均衡化  亮度增强  磨皮美白  图片滤波  高斯滤波
#图片修复


#彩色图片直方图
import cv2
import numpy as np
def ImageHist(image,type):
    color=(255,255,255)
    windowName = 'Gray'
    if type ==31 :
        color = (255,0,0)
        windowName = 'B Hist'
    elif type == 32:
        color = (0,255,0)
        windowName = 'G Hist'
    elif type == 33:
        color = (0,0,255)
        windowName = 'R Hist'
    hist = cv2.calcHist([image],[0],None,[256],[0.0,255.0]) #None 指蒙版  
    minV,maxV,minL,maxL=cv2.minMaxLoc(hist)
    histImg = np.zeros([256,256,3],np.uint8)
    for h in range(256):
        intenNormal = int(hist[h]*256/maxV)
        cv2.line(histImg,(h,256),(h,256-intenNormal),color)
    cv2.imshow(windowName,histImg)
    return histImg
img = cv2.imread('G:/02.jpg',1)
channels = cv2.split(img)
for i in range(0,3):
    ImageHist(channels[i],31+i)
cv2.waitKey(0)