如何通过在封面图像中随机选择像素来将图像嵌入到封面图像中？
如何通过在封面图像中随机选择像素来将图像嵌入到封面图像中？
提问于 2021-03-31 01:20:57
def embedding(hideImagePath,coverImagePath):
img1 = cv2.imread(coverImagePath, 0)
img2 = cv2.imread(hideImagePath, 0)
for i in range (img2.shape[0]):
for j in range(img2.shape[1]):
#convert pixel to binary
pixels_cover = format(img1[i][j], '08b')
pixels_hide = format(img2[i][j], '08b')
#replace the last 2 LSB from cover image with 2 MSB from hide image
stegoImage = pixels_cover[:6] + pixels_hide[:2]
img1[i][j] = int(stegoImage, 2)
cv2.imwrite('StegoImage.png', img1)上面是我到目前为止所做的代码。它按顺序隐藏封面图像中的像素，但我需要它通过从封面图像中选择随机像素来将图像隐藏到封面图像。
回答 1
Stack Overflow用户
回答已采纳
发布于 2021-03-31 03:38:46
从概念上讲，您希望生成所有像素坐标，并以确定的方式对它们进行混洗，以便提取知道在哪里查找。
import itertools as it
import random
def permute_indices(shape, password):
indices = list(it.product(*map(range, shape)))
random.seed(password)
random.shuffle(indices)
return iter(indices)例如
>>> idx = permute_indices((600, 800), 'hunter2')
>>> for _ in range(5):
print(next(idx))
(411, 359)
(379, 680)
(110, 612)
(246, 388)
(232, 605)对代码的调整
def embedding(hideImagePath, coverImagePath, password):
img1 = cv2.imread(coverImagePath, 0)
img2 = cv2.imread(hideImagePath, 0)
indices = permute_indices(img1.shape, password)
for i in range (img2.shape[0]):
for j in range(img2.shape[1]):
x, y = next(indices)
#convert pixel to binary
pixels_cover = format(img1[x][y], '08b')
pixels_hide = format(img2[i][j], '08b')
#replace the last 2 LSB from cover image with 2 MSB from hide image
stegoImage = pixels_cover[:6] + pixels_hide[:2]
img1[x][y] = int(stegoImage, 2)
cv2.imwrite('StegoImage.png', img1)页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/66875573
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