Hiding Data in Plain Sight: Least Significant Bit Image Steganography in Python

Code link here:
ctraliedotcom.github.io/basic...
Related assignment here:
ursinus-cs174-s2023.github.io...

[@gusthomas6872]

the way you explain RGB so precisely in just 10 seconds is so killer

[@ctralie]

Thank you Gus! It's good to know that this way of explaining it works!

[@KrafTeck666]

Your video is really interessting and well explained. I would have loved to see what the encoding looked like by showing the red channel only like you did at 4:44 but with the original image and the altered image.

[@ctralie]

Thank you! And thank you for this suggestion! I updated the notebook here to show this: ctraliedotcom.github.io/basicimageprocessing/LSBImgSteg.html and I gave you a shoutout

[@void4831]

facinating

[@ctralie]

Thanks for watching!

[@shmigo1628]

Nice video on an interesting topic! Image compression was one of the first things that came to my mind at the beginning, nice that you covered it in the end. I think you don't need to encode the null terminator explicitly in this case, because the rest of the image is zeroes anyway, no?

[@ctralie]

Thank you so much! You are absolutely right that I've already made everything 0's after the message, so the null terminator is not needed. Well spotted! What I probably should have done is keep all of the pixels intact that don't need to store the message. In that case I would require the null terminator