python+opencv像素运算（算术运算和逻辑运算）

import cv2 as cv
import numpy as np


def add_demo(m1, m2):
    dst = cv.add(m1, m2)
    cv.imshow('add_demo', dst)


def subtract_demo(m1, m2):
    dst = cv.subtract(m1, m2)
    cv.imshow('subtract_demo', dst)


def divide_demo(m1, m2):
    dst = cv.divide(m1, m2)
    cv.imshow('divide_demo', dst)


def multiply_demo(m1, m2):
    dst = cv.multiply(m1, m2)
    cv.imshow('multiply_demo', dst)


def others(m1, m2):
    M1, dev1 = cv.meanStdDev(m1)  # 返回均值和方差
    M2, dev2 = cv.meanStdDev(m2)
    h, w = m1.shape[:2]

    print(M1)
    print(M2)
    print(dev1)
    print(dev2)

    img = np.zeros([h, w], np.uint8)
    m, dev = cv.meanStdDev(img)
    print(m)
    print(dev)


def logic_demo(m1, m2):
    # dst = cv.bitwise_and(m1, m2)
    dst = cv.bitwise_or(m1, m2)
    cv.imshow('logic_demo', dst)


def contract_brightness_demo(image, c, b):  # c是对比度，b是亮度
    h, w, ch = image.shape
    blank = np.zeros([h, w, ch], image.dtype)
    # image各个像素值*c，增大对比度，增大差异， image各个像素值+b，提高亮度
    dst = cv.addWeighted(image, c, blank, 1-c, b)
    cv.imshow('con-bri-demo', dst)



src1 = cv.imread('C:/Users/Y/Pictures/Saved Pictures/LinuxLogo.jpg')
src2 = cv.imread('C:/Users/Y/Pictures/Saved Pictures/WindowsLogo.jpg')
print(src1.shape)
print(src2.shape)
cv.namedWindow('image1', cv.WINDOW_AUTOSIZE)
cv.imshow('image1', src1)
cv.imshow('image2', src2)
src = cv.imread('C:/Users/Y/Pictures/Saved Pictures/lena.png')
cv.imshow('image2', src)
contract_brightness_demo(src, 1.5, 0)
# add_demo(src1, src2)
# subtract_demo(src1, src2)
# divide_demo(src1, src2)
# multiply_demo(src1, src2)
# others(src1, src2)
# logic_demo(src1, src2)
cv.waitKey(0)
cv.destroyAllWindows()