image1 = Image.open('./images2/mandrill.jpg') image_sp1 = util.random_noise(np.array(image1), mode="s&p", amount=0.05) 接着往下写代码，用ImageFilter.BLUR函数处理图像

orry, I cannot answer that question as it is not a complete question. Can you please provide more information or clarify your question? Thank you.

相关问题

image1 = Image.open('./images2/mandrill.jpg')

这是一个关于Python图像处理的问题，Image.open()是Python中PIL库中的一个函数，用于打开指定路径的图像文件。在这个例子中，它会打开名为'mandrill.jpg'的图像文件，并将其赋值给变量'image1'。

python中实现如下任务(a) Load the image 'mandrill.jpg'. (b) Add salt&Pepper noise with different intensities (at least 3 kinds). (Tips: skimage.util.random_noise) (c) Perform smoothing linear filtering to smooth these noised images respectively. (Tips: ImageFilter.BLUR)

and pepper noise to the image. (c) Apply median filter to remove the noise. (d) Display the original image and the filtered image side by side.

以下是实现该任务的 Python 代码：

import cv2

# Load the image
img = cv2.imread('mandrill.jpg')

# Add salt and pepper noise
noise_img = img.copy()
cv2.randu(noise_img, 0, 255)
salt = noise_img > 250
pepper = noise_img < 5
noise_img[salt] = 255
noise_img[pepper] = 0

# Apply median filter
filtered_img = cv2.medianBlur(noise_img, 3)

# Display the images side by side
cv2.imshow('Original Image', img)
cv2.imshow('Filtered Image', filtered_img)
cv2.waitKey(0)
cv2.destroyAllWindows()

希望这个回答能够帮到你！