Picludo

From Latin: Pictura & Secludo - Image & Hide
Work in progress

dependencies

• NumPy
• Pillow

basic functionality

One class Picludo with methods to encrypting and decrypting images. It includes two main methods and one helper function to generate random noise:
split_pic() use random NumPy array subtraction to make two separate images of random RGB noise.
join_pics() takes two noise images and recovers the original by simple addition.
random_key() noise map generator \

about

• takes all Pillow supported formats with limitations to RGB and 8bit's per channel
• works best on lossless bitmaps
• images cannot be recovered from one noise half

split_pic()

split_pic("original.bmp")

join_pics()

join_pics("out_B.bmp", "out_A.bmp", "recovered_original.jpg")

Sample usage

from picludo import Picludo

# can be used by creating instance of Picludo class
factory = Picludo()
factory.split_pic("original.bmp")

# or directly
Picludo.split_pic("original.bmp")
# two new image files 'out_A.bmp' and 'out_B.bmp' are created


# joins (restores original) first two files into 'recovered.bmp' image
factory.join_pics("out_A.bmp", "out_B.bmp", "recovered.bmp")
# or also directly
Picludo.join_pics("out_A.bmp", "out_B.bmp", "recovered.bmp")

to do

• handling exceptions
• OS module use to check file paths
• split multiple images with one random_key
• use smaller or bigger key (pattern)
• use your own key or image