1.馬賽克效果

馬賽克的基本原理就是，用某一個(gè)區(qū)域的某一個(gè)像素點(diǎn)替代這個(gè)區(qū)域所有的像素點(diǎn)，從而導(dǎo)致圖片出現(xiàn)模糊的效果，如下：

import cv2


# 馬賽克效果
img = cv2.imread(filename='../anqila21.jpg',flags=1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
flag = 2   # 系數(shù)，系數(shù)越小，馬賽克的效果越不明顯
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之間的隨機(jī)數(shù)(不包括8)
      dst[i, j] = img[i+index,j+index]
cv2.imshow('dst',dst)
cv2.waitKey(0)

3. 圖片的融合

就是將兩張圖片融合到一張圖片上，即可看到第一張圖片的效果，也可以看到第二張圖片的效果。

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)

算法實(shí)現(xiàn)

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 馬賽克和毛玻璃效果與圖片融合的實(shí)現(xiàn)的詳細(xì)內(nèi)容，更多關(guān)于Opencv 的資料請(qǐng)關(guān)注服務(wù)器之家其它相關(guān)文章！

原文鏈接：https://blog.csdn.net/qq_45404396/article/details/121396273