image-encryption-decryption/encrypt.py at main · hoplite2k/image-encryption-decryption · GitHub

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from PIL import Image
from random import randint
import numpy as np
import os
from helper import *

def encrypt(src):
    img = Image.open(src)

    pix = img.load()

    m = img.size[0]
    n = img.size[1]

    # obtain the RGB matrices
    r = []
    g = []
    b = []
    for i in range(m):
        r.append([])
        g.append([])
        b.append([])
        for j in range(n):
            rgbPerPixel = pix[i, j]
            r[i].append(rgbPerPixel[0])
            g[i].append(rgbPerPixel[1])
            b[i].append(rgbPerPixel[2])

    # vectors Kr and Kc
    alpha = 8
    Kr = [randint(0, pow(2, alpha) - 1) for i in range(m)]
    Kc = [randint(0, pow(2, alpha) - 1) for i in range(n)]
    ITER_MAX = 1

    f = open('keys.txt', 'w+')
    f.write('Vector Kr : \n')
    for a in Kr:
        f.write(str(a) + '\n')
    f.write('Vector Kc : \n')
    for a in Kc:
        f.write(str(a) + '\n')
    f.write('ITER_MAX : \n')
    f.write(str(ITER_MAX) + '\n')

    # encrypt
    for iterations in range(ITER_MAX):

        # for each row
        for i in range(m):
            rTotalSum = sum(r[i])
            gTotalSum = sum(g[i])
            bTotalSum = sum(b[i])
            rModulus = rTotalSum % 2
            gModulus = gTotalSum % 2
            bModulus = bTotalSum % 2
            if rModulus == 0:
                r[i] = np.roll(r[i], Kr[i])
            else:
                r[i] = np.roll(r[i], -Kr[i])
            if gModulus == 0:
                g[i] = np.roll(g[i], Kr[i])
            else:
                g[i] = np.roll(g[i], -Kr[i])
            if bModulus == 0:
                b[i] = np.roll(b[i], Kr[i])
            else:
                b[i] = np.roll(b[i], -Kr[i])

        # for each column
        for i in range(n):
            rTotalSum = 0
            gTotalSum = 0
            bTotalSum = 0
            for j in range(m):
                rTotalSum += r[j][i]
                gTotalSum += g[j][i]
                bTotalSum += b[j][i]
            rModulus = rTotalSum % 2
            gModulus = gTotalSum % 2
            bModulus = bTotalSum % 2
            if rModulus == 0:
                upshift(r, i, Kc[i])
            else:
                downshift(r, i, Kc[i])
            if gModulus == 0:
                upshift(g, i, Kc[i])
            else:
                downshift(g, i, Kc[i])
            if bModulus == 0:
                upshift(b, i, Kc[i])
            else:
                downshift(b, i, Kc[i])

        # for each row
        for i in range(m):
            for j in range(n):
                if i % 2 == 1:
                    r[i][j] = r[i][j] ^ Kc[j]
                    g[i][j] = g[i][j] ^ Kc[j]
                    b[i][j] = b[i][j] ^ Kc[j]
                else:
                    r[i][j] = r[i][j] ^ rotate180(Kc[j])
                    g[i][j] = g[i][j] ^ rotate180(Kc[j])
                    b[i][j] = b[i][j] ^ rotate180(Kc[j])

        # for each column
        for j in range(n):
            for i in range(m):
                if j % 2 == 0:
                    r[i][j] = r[i][j] ^ Kr[i]
                    g[i][j] = g[i][j] ^ Kr[i]
                    b[i][j] = b[i][j] ^ Kr[i]
                else:
                    r[i][j] = r[i][j] ^ rotate180(Kr[i])
                    g[i][j] = g[i][j] ^ rotate180(Kr[i])
                    b[i][j] = b[i][j] ^ rotate180(Kr[i])

    for i in range(m):
        for j in range(n):
            pix[i, j] = (r[i][j], g[i][j], b[i][j])

    #output
    if not os.path.exists('encrypted_images'):
        os.makedirs('encrypted_images')
    img.save('encrypted_images/' + os.path.basename(src))

    return 'encrypted_images/' + os.path.basename(src)