Question

我正在尝试通过使用pypng合并三个灰度png图像来创建RGB png图像。我已经将png文件读入numpy数组，如下所示

pngFile1 = png.Reader("file1.png").read()
pngFile2 = png.Reader("file2.png").read()
pngFile3 = png.Reader("file3.png").read()

pngArray1 = np.array(list(pngFile1[2]))
pngArray2 = np.array(list(pngFile2[2]))
pngArray3 = np.array(list(pngFile3[2]))

如何组合这三个数组/图像来重新创建RGB png图像？

Answer 1

我发现scipy可以直接读取数组的灰度png。

from scipy import misc
import numpy

R = misc.imread("r.png")
G = misc.imread("g.png") 
B = misc.imread("b.png") 

RGB = numpy.zeros((R.shape[0], R.shape[1], 3), "uint8") 
RGB [:,:,0] = R
RGB [:,:,1] = G
RGB [:,:,2] = B

misc.imsave("rgb.png", RGB)

Answer 2

为简单起见，我们假设您有3个import numpy as np R = np.array([[[1], [1], [1]], [[1], [1], [1]], [[1], [1], [1]]]) G = np.array([[[2], [2], [2]], [[2], [2], [2]], [[2], [2], [2]]]) B = np.array([[[3], [3], [3]], [[3], [3], [3]], [[3], [3], [3]]]) RGB = np.concatenate((R,G,B), axis = 2) print RGB >>> [[[1 2 3] [1 2 3] [1 2 3]] [[1 2 3] [1 2 3] [1 2 3]] [[1 2 3] [1 2 3] [1 2 3]]]维度的灰度图像，并将这3个灰度图像表示为：

{{1}}

Answer 3

我应该创建一个2D数组，每行为3*width并包含连续的RGB值

pngFile1 = png.Reader("file1.png").read()
pngFile2 = png.Reader("file2.png").read()
pngFile3 = png.Reader("file3.png").read()

pngArray1 = np.array(list(pngFile1[2]))
pngArray2 = np.array(list(pngFile2[2]))
pngArray3 = np.array(list(pngFile3[2]))

//get dimension, assuming they are the same for all three images
width = pngArray1[0]
height = pngArray1[1]

//create a 2D array to use on the png.Writer
pngArray = np.zeros([height, 3*width])

for i in range(height)
    for j in range(width)
        pngArray[i][j*3 + 0] =  pngArray1[i][j]
        pngArray[i][j*3 + 1] =  pngArray2[i][j]
        pngArray[i][j*3 + 2] =  pngArray3[i][j]

fileStream = open("pngFileRGB.png", "wb")
writer = png.Writer(width, height)
writer.write(fileStream, pngArray)
fileStream.close()

使用三个灰度png文件创建RGB图像 - pypng

3 个答案: