如何为numpy数组添加运动模糊

Question

我有一个来自图像的numpy数组

那么，有没有一个好方法：

from PIL import Image
a = Image.open('img')
a = a.filter(MOTION_BLUR)

Answer 1

import cv2
import numpy as np

img = cv2.imread('input.jpg')
cv2.imshow('Original', img)

size = 15

# generating the kernel
kernel_motion_blur = np.zeros((size, size))
kernel_motion_blur[int((size-1)/2), :] = np.ones(size)
kernel_motion_blur = kernel_motion_blur / size

# applying the kernel to the input image
output = cv2.filter2D(img, -1, kernel_motion_blur)

cv2.imshow('Motion Blur', output)
cv2.waitKey(0)

解释你可以找到here

Answer 2

我会用matplotlib：

from PIL import Image
img = Image.open('your_image')
imgplot = plt.imshow(img, interpolation="bicubic")

Answer 3

如果要应用垂直，可以使用此内核：

kernel_motion_blur = np.zeros((size, size))
kernel_motion_blur[int(:, (size-1)/2)] = np.ones(size)
kernel_motion_blur = kernel_motion_blur / size