|
| 1 | +import cv2 |
| 2 | +import numpy as np |
| 3 | +import pyfiglet |
| 4 | + |
| 5 | +banner = pyfiglet.figlet_format("STEGBYTE") |
| 6 | +print(banner,"\t\t\t\tCreated By Soumalya") |
| 7 | + |
| 8 | + |
| 9 | +def data2binary(data): |
| 10 | + if type(data) == str: |
| 11 | + return ''.join([format(ord(i),"08b") for i in data]) |
| 12 | + elif type(data) == bytes or type(data) == np.ndarray: |
| 13 | + return [format(i,"08b") for i in data] |
| 14 | + |
| 15 | + |
| 16 | +def hideData(image,secret_data): |
| 17 | + secret_data += "#####" |
| 18 | + |
| 19 | + data_index = 0 |
| 20 | + binary_data = data2binary(secret_data) |
| 21 | + data_length = len(binary_data) |
| 22 | + |
| 23 | + for values in image: |
| 24 | + for pixel in values: |
| 25 | + |
| 26 | + r,g,b = data2binary(pixel) |
| 27 | + |
| 28 | + if data_index < data_length: |
| 29 | + pixel[0] = int(r[:-1] + binary_data[data_index]) |
| 30 | + data_index += 1 |
| 31 | + if data_index < data_length: |
| 32 | + pixel[1] = int(g[:-1] + binary_data[data_index]) |
| 33 | + data_index += 1 |
| 34 | + if data_index < data_length: |
| 35 | + pixel[2] = int(b[:-1] + binary_data[data_index]) |
| 36 | + data_index += 1 |
| 37 | + if data_index >= data_length: |
| 38 | + break |
| 39 | + |
| 40 | + return image |
| 41 | + |
| 42 | + |
| 43 | +def encode_text(): |
| 44 | + image_name = input("Enter Cover Image Name : ") |
| 45 | + image = cv2.imread(image_name) |
| 46 | + |
| 47 | + data = input("Enter The Text You Want To Hide : ") |
| 48 | + if data == 0: |
| 49 | + raise ValueError("Data is Empty ... ") |
| 50 | + |
| 51 | + file_name = input("Enter The Encoded Image Name : ") |
| 52 | + |
| 53 | + encoded_data = hideData(image,data) |
| 54 | + cv2.imwrite(file_name,encoded_data) |
| 55 | + |
| 56 | +def show_data(image): |
| 57 | + binary_data = "" |
| 58 | + for values in image: |
| 59 | + for pixel in values: |
| 60 | + r,g,b = data2binary(pixel) |
| 61 | + |
| 62 | + binary_data += r[-1] |
| 63 | + binary_data += g[-1] |
| 64 | + binary_data += b[-1] |
| 65 | + |
| 66 | + all_bytes = [binary_data[i: i+8] for i in range (0,len(binary_data),8)] |
| 67 | + |
| 68 | + decoded_data = "" |
| 69 | + for byte in all_bytes: |
| 70 | + decoded_data += chr(int(byte,2)) |
| 71 | + if decoded_data[-5:] == "#####": |
| 72 | + break |
| 73 | + |
| 74 | + return decoded_data[:-5] |
| 75 | + |
| 76 | + |
| 77 | + |
| 78 | +def decode_text(): |
| 79 | + image_name = input("Enter Image You Want To Extract : ") |
| 80 | + image = cv2.imread(image_name) |
| 81 | + |
| 82 | + text=show_data(image) |
| 83 | + return text |
| 84 | + |
| 85 | +def stegnography(): |
| 86 | + userinput = int(input("\nSTEGBYTE\n\n 1. Encode \n 2. Decode \n\n Enter Here : ")) |
| 87 | + if userinput == 1: |
| 88 | + encode_text() |
| 89 | + else: |
| 90 | + final_data=decode_text() |
| 91 | + print("\nDecoded Data : ",final_data) |
| 92 | + |
| 93 | +stegnography() |
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