opencv 实现图片亮度增强和图片美白

1，图片亮度增强在解析出来的r,g,b基础上增加一定的像素值即可。

代码实现：

import cv2
import numpy as np
img = cv2.imread('image0.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('src',img)
dst = np.zeros((height,width,3),np.uint8)
for i in range(0,height):
    for j in range(0,width):
        (b,g,r) = img[i,j]
        bb = int(b)+40
        gg = int(g)+40
        rr = int(r)+40
        if bb>255:
            bb = 255
        if gg>255:
            gg = 255
        if rr>255:
            rr = 255
        dst[i,j] = (bb,gg,rr)
cv2.imshow('dst',dst)
cv2.waitKey(0)

运行结果如下：

 

 

3,图片的美白：p = P*1.4(a)+ b;

 代码实现：

import cv2
import numpy as np
img = cv2.imread('image0.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('src',img)
dst = np.zeros((height,width,3),np.uint8)
for i in range(0,height):
    for j in range(0,width):
        (b,g,r) = img[i,j]
        bb = int(b*1.3)+10
        gg = int(g*1.2)+15

        if bb>255:
            bb = 255
        if gg>255:
            gg = 255

        dst[i,j] = (bb,gg,r)
cv2.imshow('dst',dst)
cv2.waitKey(0)

实现结果：