Today, I made some cling-on images for any smooth surface. I took an image I liked from an old Time magazine and covered it in clear packing tape. Then I cut the image out, placed it in a bowl of warm water andlet it soak for a while. I rubbed the paper off the back with my fingers, and I was left with a translucent image that will stick to any smooth surface!
Tips: The magazine image must be glossy. Don’t rub the paper off with your fingernails. Images look really neat when stuck onto a transparent surface.
Alright, with a little help from my friend I was able to get starting in converting the image sequence of black images into high-contrast grayscale images. Now starts the daunting task of figuring out how to figure out what the digital camera noise signature is. And once that I think I have done this, I then need determine a way to prove it. I have a few ideas of how to start, but I still need to give it a little more thought.
If you watch the animation above long enough you can start to see some general patterns start to emerge (or you would if the compression didn’t suck). Could this pattern simply be the noise signature? Also, the video above may be too low-res to notice, but there are a couple colorful pixels almost stationary towards the bottom right hand corner of the screen. At first I thought this might be a blemish on the camera, but I feel as though a blemish would block light and make those pixels black, not bright and colorful (the brightness should be an indication of light and the color indicates a noticeable variation in the RGB values… which logically should be an indication of light). Anyway, what could that be about?
Today I’ve started my epic journey towards identifying and removing a camera’s unique digital noise signature. The first step involved taking a large sample of pictures of a black backdrop in a pitch black closet (actually, the real first step was making a time-lapse camera).
What it a digital noise signature?
It’s a unique digital fingerprint that the hardware in your camera unintentionally embeds in every picture you take.
Why identify it?
I need to be able to identify it in order to be sure that I am removing it from the image.
Why remove it?
The reason to remove it is simple; to keep an image from being traced back to a particular camera. Having an untraceable image could be useful in many contexts. For instance, it can be a very important tool for maintaining a free, impartial and (if necessary) anonymous press without the fear of persecution
