03图片修补

1、生成坏图

import cv2 
import numpy as np
img = cv2.imread('image0.jpg',1)
for i in range(200,300):
    img[i,200] = (255,255,255)
    img[i,200+1] = (255,255,255)
    img[i,200-1] = (255,255,255)
for i in range(150,250):
    img[250,i] = (255,255,255)
    img[250+1,i] = (255,255,255)
    img[250-1,i] = (255,255,255)
cv2.imwrite('damaged.jpg',img)
cv2.imshow('image',img)
cv2.waitKey(0)

image.png

2、修图

先读取坏图，再用一个图片描绘坏图坏的地方，调用opencv的方法（inpaint）完成修补

#1 坏图 2 array 3 inpaint
import cv2 
import numpy as np
img = cv2.imread('damaged.jpg',1)
cv2.imshow('src',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
paint = np.zeros((height,width,1),np.uint8)


for i in range(200,300):
    paint[i,200] = 255
    paint[i,200+1] = 255
    paint[i,200-1] = 255
for i in range(150,250):
    paint[250,i] = 255
    paint[250+1,i] = 255
    paint[250-1,i] = 255
cv2.imshow('paint',paint)
#1 src 2 mask   最终生成的目标图片
imgDst = cv2.inpaint(img,paint,3,cv2.INPAINT_TELEA)

cv2.imshow('image',imgDst)
cv2.waitKey(0)

paint imgDst