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python 图像处理之插值 最近邻、双线性、双三次
1.最近邻：
import cv2
import numpy as np
def function(img):
height,width,channels =img.shape
emptyImage=np.zeros((2048,2048,channels),np.uint8)
sh=2048/height
sw=2048/width
for i in range(2048):
for j in range(2048):
x=int(i/sh)
y=int(j/sw)
emptyImage[i,j]=img[x,y]
return emptyImage
img=cv2.imread("e:\\lena.bmp")
zoom=function(img)
cv2.imshow("nearest neighbor",zoom)
cv2.imshow("image",img)
cv2.waitKey(0)
2.双线性：
import cv2
import numpy as np
import math
def function(img,m,n):
height,width,channels =img.shape
emptyImage=np.zeros((m,n,channels),np.uint8)
value=[0,0,0]
sh=m/height
sw=n/width
for i in range(m):
for j in range(n):
x = i/sh
y = j/sw
p=(i+0.0)/sh-x
q=(j+0.0)/sw-y
x=int(x)-1
y=int(y)-1
for k in range(3):
if x+1 |