# 读取图像image_path='path_to_your_image.jpg'# 替换为你的图像路径image=cv2.imread(image_path)# 使用 OpenCV 读取图像 1. 2. 3. 步骤3:添加噪声 我们可以通过向图像的每个通道添加随机生成的噪声来实现图像噪声的添加。 defadd_noise(image):row,col,ch=image.shape# 获取图像的行、列和通道数gauss=...
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# __EOF__...
img= ...noise= ...image= img + noise AI代码助手复制代码 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-...
gray = [cv2.cvtColor(i, cv2.COLOR_BGR2GRAY) for i in img] # convert all to float64 gray = [np.float64(i) for i in gray] # create a noise of variance 25 noise = np.random.randn(*gray[1].shape)*10 # Add this noise to images noisy = [i+noise for i in gray] # Convert ...
OpenCV - Add Noise的一些方法 import numpyasnp def pepper_and_salt(src, proportion):""":param src: the original image :param proportion: the proportion of salt and pepper noise :return:"""noise_img =np.copy(src) noise_num=int(proportion * src.shape[0] * src.shape[1])foriinrange(...
voidaddSpeckleNoise(Mat ,doublescale,Mat&dst){ dst=image.clone(); RNGrng; dst.forEach([&](Pixel&p,constint*position)->void{ introw=position[0]; intcol=position[1]; doublerandom_value=rng.uniform(0.0,1.0); doublenoise_intensity=random_value*scale; ...
(count,count,count);});}voidaddSpeckleNoise(Mat ,doublescale,Mat&dst){dst=image.clone();RNG rng;dst.forEach<Pixel>([&](Pixel&p,constint*position)->void{introw=position[0];intcol=position[1];doublerandom_value=rng.uniform(0.0,1.0);doublenoise_intensity=random_value*scale;dst.at<Vec3b...
img: image gt_boxes: format [[obj x1 y1 x2 y2],...] 类别id 中心点x坐标 中心点y坐标 w h(相对于图片宽高) scale: percentage of cropped area ''' # Crop image height, width = int(img.shape[0]*scale), int(img.shape[1]*scale) ...
周期性噪声(Periodic Noise):周期性噪声通常由于电源干扰或光源问题引起,它在图像中呈现出明显的周期性纹理或条纹,可以使用滤波器等方法去除。 亮度均匀性噪声(Illumination Uniformity Noise):这种噪声通常与光照条件不均匀有关,导致图像中的亮度不均匀分布。
#include<opencv2/opencv.hpp>#include<opencv2/core.hpp>#include<opencv2/highgui.hpp>#include<random>usingnamespacestd;usingnamespacecv;voidaddSpeckleNoise(Mat ,doublescale,Mat&dst){dst=image.clone();RNG rng;dst.forEach<Pixel>([&](Pixel&p,constint*position)->void{introw=position[0];intcol...