写一段利用引导滤波器进行图像去躁的代码

好的，以下是使用引导滤波器进行图像去躁的 Python 代码：

import cv2
import numpy as np

def guided_filter(I, p, r=16, eps=1e-5):
    N = cv2.boxFilter(np.ones_like(I), -1, (r, r))
    mean_I = cv2.boxFilter(I, -1, (r, r)) / N
    mean_p = cv2.boxFilter(p, -1, (r, r)) / N
    mean_Ip = cv2.boxFilter(I * p, -1, (r, r)) / N
    cov_Ip = mean_Ip - mean_I * mean_p
    
    mean_II = cv2.boxFilter(I * I, -1, (r, r)) / N
    var_I = mean_II - mean_I * mean_I
    
    a = cov_Ip / (var_I + eps)
    b = mean_p - a * mean_I
    
    mean_a = cv2.boxFilter(a, -1, (r, r)) / N
    mean_b = cv2.boxFilter(b, -1, (r, r)) / N
    
    q = mean_a * I + mean_b
    return q

if __name__ == '__main__':
    img = cv2.imread('lena.jpg')
    noise = np.random.normal(0, 50, img.shape)
    noisy_img = np.clip(img + noise, 0, 255).astype(np.uint8)

    filtered_img = guided_filter(noisy_img.astype(np.float32), noisy_img.astype(np.float32))
    
    cv2.imshow('Original Image', img)
    cv2.imshow('Noisy Image', noisy_img)
    cv2.imshow('Filtered Image', filtered_img.astype(np.uint8))
    cv2.waitKey(0)

希望这段代码对您有所帮助！接下来，您有什么问题需要我回答吗？