我正在尝试将图像放大 200%,但输出图像上有一些奇怪的条。我认为它与中心像素有关。我正在尝试在没有诸如 resize() 之类的库函数的情况下做到这一点。作为参考,我正在尝试实现此功能:
import numpy as np
img = cv2.imread('C:\\Users\\usama\\Downloads\\lena.tiff',0) # Open Image in grayscale
origImg = np.asarray(img) # Convert Image to 2D Array
upscaledImg = np.zeros((1024,1024)) # Empty Array for upscaled Image
rowOld = 0 # Orignal Image Row
rowNew = 0 # Upscaled Image Row
colOld = 0 # Original Image Column
colNew = 0 # Upscaled Image Column
def pixeltop():
return int(origImg[rowOld][colOld]) / 2 + int(origImg[rowOld][colOld + 1]) / 2
def pixelcenter():
return (int(origImg[rowOld+1][colOld]) + int(origImg[rowOld+1][colOld + 1]) + int(origImg[rowOld+1][colOld]) + int(origImg[rowOld][colOld + 1]))/5
def pixelleft():
return int(origImg[rowOld][colOld]) / 2 + int(origImg[rowOld + 1][colOld]) / 2
def pixelright():
return int(origImg[rowOld][colOld + 1]) / 2 + int(origImg[rowOld + 1][colOld + 1]) / 2
def pixelbottom():
return int(origImg[rowOld + 1][colOld]) / 2 + int(origImg[rowOld + 1][colOld + 1]) / 2
while rowOld < (len(origImg)): # Outer Loop for transversing rows
colOld = 0
colNew = 0
while colOld < (len(origImg)): # Inner Loop for transversing columns
upscaledImg[rowNew][colNew] = origImg[rowOld][colOld]
upscaledImg[rowNew][colNew+1] = pixeltop()
upscaledImg[rowNew][colNew+2] = origImg[rowOld][colOld+1]
upscaledImg[rowNew+1][colNew] = pixelleft()
upscaledImg[rowNew+1][colNew+1] = pixelcenter()
upscaledImg[rowNew+1][colNew+2] = pixelright()
upscaledImg[rowNew+2][colNew] = origImg[rowOld+1][colOld]
upscaledImg[rowNew+2][colNew+1] = pixelbottom()
upscaledImg[rowNew+2][colNew+2] = origImg[rowOld+1][colOld+1]
colOld +=2
colNew +=4
if(rowOld == 511):
break
rowOld += 2
rowNew += 4
cv2.imwrite('upscaled.png',upscaledImg)
输出:

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