1.马赛克效果
马赛克的基本原理就是，用某一个区域的某一个像素点替代这个区域所有的像素点，从而导致图片出现模糊的效果，如下：
import cv2
# 马赛克效果
img = cv2.imread(filename='../anqila21.jpg',flags=1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
flag = 2 # 系数，系数越小，马赛克的效果越不明显
for m in range(26,height):
for n in range(140,880):
if m%flag==0 and n%flag==0:
for i in range(0,flag):
for j in range(0,flag):
(b,g,r) = img[m,n]
img[i+m,j+n] = (b,g,r)
cv2.imshow('dst',img)
cv2.waitKey(0)
2. 毛玻璃效果
import cv2
import numpy as np
import random
# 毛玻璃效果
img = cv2.imread(filename='../anqila21.jpg',flags=1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
dst = np.zeros((height,width,3),np.uint8)
for i in range(height-8):
for j in range(width-8):
index = int(random.random()*8) # 生成0-8之间的随机数(不包括8)
dst[i, j] = img[i+index,j+index]
cv2.imshow('dst',dst)
cv2.waitKey(0)
3. 图片的融合
就是将两张图片融合到一张图片上，即可看到第一张图片的效果，也可以看到第二张图片的效果。
import cv2
img_1 = cv2.imread(filename='../anqila21.jpg',flags=1)
img_2 = cv2.imread(filename='../huanghe.jpg',flags=1)
imgInfo = img_1.shape
height = imgInfo[0]
width = imgInfo[1]
# roi
roi = 0.5
dst = cv2.addWeighted(img_1,roi,img_2,(1-roi),0)
cv2.imshow('dst',dst)
cv2.waitKey(0)
算法实现
import cv2
import numpy as np
img_1 = cv2.imread(filename='../anqila21.jpg',flags=1)
img_2 = cv2.imread(filename='../huanghe.jpg',flags=1)
imgInfo = img_1.shape
height = imgInfo[0]
width = imgInfo[1]
# roi
roi = 0.5
dst = np.zeros((height,width,3),np.uint8)
for i in range(height):
for j in range(width):
(b1,g1,r1) = img_1[i,j]
(b2,g2,r2) = img_2[i,j]
dst[i,j] = (int(b1*roi+b2*(1-roi)),int(g1*roi+g2*(1-roi)),int(r1*roi+r2*(1-roi)))
cv2.imshow('dst',dst)
cv2.waitKey(0)
以上就是Opencv 马赛克和毛玻璃效果与图片融合的实现的详细内容，更多关于Opencv 的资料请关注编程网其它相关文章！
