图片中隐藏信息

图片中隐藏图片

利用邻近法将一张图片的所有像素嵌入到另一张图片中

import cv2
import numpy as np

def point2point(x):
    #幂函数
    return np.power(x,2)
def log(base,x):
    #对数运算
    return np.log(x)/np.log(base)
def exp(x):
    #指数运算
    return np.exp(x)

def parse_from_img(img):
    #图像的解析
    img_h, img_w, _ = img.shape

    res_img = np.zeros((160, 160, 3), np.uint8)

    for m in range(0, 160):
        for n in range(0, 160):
            map_col = int(np.power(m,1.3))
            map_row = int(np.power(n,1.3))
            res_img[n, m] = img[map_row, map_col]
    return res_img

def generate_img(big_img_path, small_img_path):
    """
    Args:
        big_img_path: 原始图片
        small_img_path: 要隐藏的图片
    Returns:
    主要是利用插值算法将要隐藏的图片有规律的插入到原始图片中
    """
    big_img = cv2.imread(big_img_path)
    sml_img = cv2.imread(small_img_path)

    big_img=cv2.resize(big_img,(800,800))
    ##要隐藏的图像
    sml_img=cv2.resize(sml_img,(160,160))

    dst_img = big_img.copy()

    sml_h, sml_w, _ = sml_img.shape

    for m in range(0, sml_w):
        for n in range(0, sml_h):
            ##位置映射关系
            map_col = int(np.power(m,1.3))
            map_row = int(np.power(n,1.3))
            dst_img[map_row, map_col] = sml_img[n, m]
            # if map_col < int(np.power(sml_h,2)) and map_row

 

import numpy as np
import matplotlib.pyplot as plt

x=np.linspace(0,160)
y=np.power(x,1.3)
plt.plot(x,y)
plt.show()

def hh(base,x):
    print('最小值',np.power(1,base))
    print('最大值',np.power(x,base))

hh(1.3,160)

 文本转图片

import cv2
import numpy as np
##文本转图片
def Text2Img(txt_fname, save_fname):
    with open(txt_fname, "r", encoding="utf-8") as f:
        text = f.read()
    text_len = len(text)
    img_h = 40
    img_w = 40
    img = np.zeros((img_h, img_w, 3))
    x = 0
    y = 0
    for each_text in text:
        idx = ord(each_text)
        rgb = (0, (idx & 0xFF00) >> 8, idx & 0xFF)
        img[y, x] = rgb
        if x == img_w - 1:
            x = 0
            y += 1
        else:
            x += 1
    cv2.imwrite(save_fname, img)

##图片转文本
def Img2Text(img_fname):
    img = cv2.imread(img_fname)
    height, width, _ = img.shape
    text_list = []
    for h in range(height):
        for w in range(width):
            R, G, B = img[h, w]
            if R | G | B == 0:
                break
            idx = (G << 8) + B
            text_list.append(chr(idx))
    text = "".join(text_list)
    with open("2.txt", "a", encoding="utf-8") as f:
        f.write(text)

Text2Img('1.txt','hh.png')
Img2Text('hh.png')

参考文献：

写代码，必须要优雅！ (cuijiahua.com)

99%的人都不知道照片隐藏的惊天秘密，实在是太优雅了！_哔哩哔哩_bilibili