在Python NumPy中拉伸图像的最有效方法

import numpy as np

image = np.loadtxt('image.txt')

scale_x = 2  # 水平方向拉伸比例
scale_y = 3  # 垂直方向拉伸比例

new_width = int(image.shape[1] * scale_x)
new_height = int(image.shape[0] * scale_y)

new_image = np.zeros((new_height, new_width))

for i in range(new_height):
    for j in range(new_width):
        x = j / scale_x
        y = i / scale_y
        x1 = int(x)
        y1 = int(y)
        x2 = x1 + 1
        y2 = y1 + 1
        dx = x - x1
        dy = y - y1
        new_image[i, j] = (1 - dx) * (1 - dy) * image[y1, x1] + dx * (1 - dy) * image[y1, x2] + (1 - dx) * dy * image[y2, x1] + dx * dy * image[y2, x2]

import matplotlib.pyplot as plt
plt.imshow(new_image, cmap='gray')
plt.show()