I was thinking recently, one day we might run out of new images. Let’s take the current standard for high quality images, 1080p hi def video. It’s surprising to realize that that frame contains a finite number of possible images. I thought it would be interesting to figure out just how many, so I wrote a little Python expression to do the math. The total number of pixels is 1920 horizontally x 1080 vertically = 2,073,600 pixels. There are 256 possible intensities of red, green and blue for each pixel, so that’s 2563 = 16,777,216 possible colors. To figure out how many possible images there are, we need to raise the second number to the power of the first, so 16,777,2162,073,600 = 1.5 * 1014,981,180 possible images. That’s a pretty big number – it’s almost fifteen million digits long. Printing it in 10 point Monaco would take over 2,700 pages of paper. Scientists estimate that there are 1080 atoms in the observable universe – a tiny number in comparison.
However big it may be, the fact that the number is finite is a surprising thing to realize. It means that every possible image has a unique ID number. So instead of asking me, “did you see that picture of MIA performing pregnant at the Grammys”, you might ask, “did you see image number 1,394,239,...,572?” Obviously that is totally impractical and it would make you a huge nerd, but it’s interesting that you could.
We think of visual artists as generally creating things that are original, and if they’re doing their job, they are. But I think it’s also surprising to realize that in another sense, they are just exploring a fixed set of possibilities. “After all that hard work and all those revisions, we decided on image number 884,297,...,493.”
Another weird thing is that the answer to nearly any question is contained in these numbers. Who killed
JFK? There is a number which is a picture of the answer. What would Michael Phelps hitting a bong wearing an orange floral sari on the moon on July 19, 2033 at 3:19pm look like? What does a McDonald’s look like flooded with water?
The answer to that question in full color and high definition is contained in image number
whatever. Strange but true – the things which are, the things which are not and the things which will be – they all have a number.

Most of these possible images are pretty similar to what you get if you crank up the Add Noise filter in Photoshop, and aren’t really that interesting to look at. Part of my job at The Barbarian Group is to help figure out technical ways to create images. Put another way, my job is finding efficient ways to skip over the boring numbers and arrive at the interesting ones.
Update:
Thanks to an anonymous commenter who pointed out that I misplaced a comma. Fixed.
Also, with respect to the successor of an image, let’s assume a straightforward encoding of the image that lines up the pixels row by row, and stores them as interleaved RGB channel ordering. This would make the majority of images’ lower right pixel imperceptibly bluer than its predecessor, but otherwise the two images would be identical.