[英]adding gaussian noise to image
我正在嘗試使用以下代碼向一些圖像添加高斯噪聲
import numpy as np
import cv2
import glob
mean = 0
var = 10
sigma = var ** 0.5
gaussian = np.random.normal(mean, sigma, (224, 224))
for image in glob.glob('/home/aub/myflower/flower_photos/dandelion/*.jpg'):
img = cv2.imread(image)
noisy_image = np.zeros(img.shape, np.float32)
if len(img.shape) == 2:
noisy_image = img + gaussian
else:
noisy_image[:, :, 0] = img[:, :, 0] + gaussian
noisy_image[:, :, 1] = img[:, :, 1] + gaussian
noisy_image[:, :, 2] = img[:, :, 2] + gaussian
cv2.normalize(noisy_image, noisy_image, 0, 255, cv2.NORM_MINMAX, dtype=-1)
noisy_image = noisy_image.astype(np.uint8)
cv2.imshow("img", img)
cv2.imshow("gaussian", gaussian)
cv2.imshow("noisy", noisy_image)
cv2.waitKey(0)
但它不起作用,它給我以下錯誤
noisy_image [:,:,0] = img [:,:,0] +高斯ValueError:操作數不能與形狀一起廣播(315,500)(224,224)
請檢查並提供反饋。
看起來您的圖像形狀為(315,500)
,而gaussian
形狀為(224,224)
。 嘗試將您的高斯初始化更改為
gaussian = np.random.normal(mean, sigma, (img.shape[0],img.shape[1]))
順便說一句:您可以替換這些行
noisy_image[:, :, 0] = img[:, :, 0] + gaussian
noisy_image[:, :, 1] = img[:, :, 1] + gaussian
noisy_image[:, :, 2] = img[:, :, 2] + gaussian
與
noisy_image = img + gaussian
效果相同:將gaussian
添加到每個通道。
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