AI检测代码解析 cv2.imwrite('noisy_image.jpg',cv2.cvtColor(noisy_image,cv2.COLOR_RGB2BGR))# 保存添加噪音后的图像,转换颜色通道为BGR 1. 流程与状态图 下面是流程的序列图以及状态图,帮助你更好地理解整个过程。 PythonDeveloperPythonDeveloperImport librariesRead imageGenerate Gaussian noiseAdd noise to ima...
# Python 实现importcv2importnumpyasnpimportmatplotlib.pyplotaspltdefadd_gaussian_noise(image,mean=0,var=0.1):sigma=var**0.5gauss=np.random.normal(mean,sigma,image.shape)noisy_image=np.clip(image+gauss,0,255).astype(np.uint8)returnnoisy_image image=cv2.imread('input_image.jpg',cv2.IMREAD_GRA...
noisy_image = add_poisson_noise(image) 四、利用SCIKIT-IMAGE库增加噪音 scikit-image是一个强大的图像处理库,提供了多种增加噪音的函数,可以方便地为图像增加各种类型的噪音。 高斯噪音 scikit-image提供了直接增加高斯噪音的函数,使用起来非常方便。 from skimage.util import random_noise noisy_image = random_n...
image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE) 显示原始图像 cv2.imshow('Original Image', image) cv2.waitKey(0) 添加伽马噪声 noisy_image = add_gamma_noise(image) 显示添加噪声后的图像 cv2.imshow('Noisy Image', noisy_image) cv2.waitKey(0) 保存添加噪声后的图像 cv2.imwrite('noisy_im...
def AddSaltAndPepperNosie(img, pro): noise = np.random.uniform(0, 255, img[:, :, 0].shape) mask = noise < pro * 255 mask = Expand2Dto3D(mask) img = img * (1 - mask) mask = noise > 255 - pro * 255 mask = Expand2Dto3D(mask) ...
noise=... image= img + noise 参考链接: 1、https://stackoverflow.com/questions/22937589/how-to-add-noise-gaussian-salt-and-pepper-etc-to-image-in-python-with-opencv# 2、https://stackoverflow.com/questions/14435632/impulse-gaussian-and-salt-and-pepper-noise-with-opencv# ...
1、https://stackoverflow.com/questions/22937589/how-to-add-noise-gaussian-salt-and-pepper-etc-to-image-in-python-with-opencv# 2、https://stackoverflow.com/questions/14435632/impulse-gaussian-and-salt-and-pepper-noise-with-opencv# 以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支...
noise = np.random.randn(*gray[1].shape)*10 # Add this noise to images noisy = [i+noise for i in gray] # Convert back to uint8 noisy = [np.uint8(np.clip(i,0,255)) for i in noisy] # Denoise 3rd frame considering all the 5 frames ...
Augmentation = add_noise2(x=wav_data, snr=50) AI代码助手复制代码 三、加混响 我这里使用的是Image Source Method(镜像源方法)来实现语音加混响,我想用两种方法来给大家实现,第一种是直接调用python库——Pyroomacoustics来实现音频加混响,第二种就是按照公式推导一步一步来实现,两种效果一样,想看细节的可以...
import cv2 import numpy as np from matplotlib import pyplot as plt # Load the image in grayscale image = cv2.imread('/content/01_L.bmp', 0) # Apply GaussianBlur to reduce noise and enhance the thresholding process blurred = cv2.GaussianBlur(image, (5, 5), 0) # Apply adaptive threshold...