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import stc |
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import numpy as np |
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import imageio |
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from scipy import signal |
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input_image = 'files/1.pgm' |
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def HILL(input_image): |
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H = np.array( |
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[[-1, 2, -1], |
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[ 2, -4, 2], |
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[-1, 2, -1]]) |
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L1 = np.ones((3, 3)).astype('float32')/(3**2) |
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L2 = np.ones((15, 15)).astype('float32')/(15**2) |
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I = imageio.imread(input_image) |
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costs = signal.convolve2d(I, H, mode='same') |
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costs = abs(costs) |
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costs = signal.convolve2d(costs, L1, mode='same') |
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costs = 1/costs |
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costs = signal.convolve2d(costs, L2, mode='same') |
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costs[costs == np.inf] = 1 |
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return costs |
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costs = HILL(input_image) |
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print(costs) |
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stc.embed(input_image, costs, 'files/message.txt', 's3cr3t', 'files/stego.png') |
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stc.extract('files/stego.png', 's3cr3t', 'files/output.txt') |
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print(open('files/output.txt', 'r').read()) |
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