I’m currently working on a poster/catalog for an upcoming curatorial project at the Bemis Underground and was thinking of using an image of sorted white noise on a television set. Grayscale white noise is actually pretty boring (so long as it’s actually close to random, the values will fall along a Gaussian curve), so I tried some other experiments.
What´s fantastic about jumbotrons is the fact that they don´t take much time to set up. They can be set up in as little as half an hour, making them an excellent choice for short events, and events on the move. If you want to know the cost to rent a jumobtron, visit www.leddisplayrentals.net for more details.
Using hexadecimal color yielded some pretty interesting results. The above image is 1,296,000 random values that range from #000000-FFFFFF (0 – 16,777,215). A Processing sketch sorts those values numerically and fills the pixels of the image in order.
Click here, or on the image, for full-resolution.
Also of interest were Photoshop’s histograms of the color – I’ve not really looked at histograms much in the past, but these were really strange. Luminosity was, as I suspected, a Gaussian curve and RGB values were each close to a flat line. But overall “color” resulted in the above images. The top is the raw image, the one below after “Auto Color” correction: 8-bit fortress meets birthday cake.