When I took a photo of my computer monitor last night, with a datamoshed image of a Rough Collie dashing through a forest fire on display in full screen mode, the area around that image was in complete darkness. My reasoning for such strange behaviour? An experiment designed to locate the image in a three-dimensional space and mark it with a signature in the process. Like many of the handwritten signatures I’ve tried out from time to time, I’m not feeling inclined to stick with this digital one i.e., C:\Users\maekitso\Documents\bird\…
I’m keeping maekitso and bird, but not in that particular form.
Rather than delete it and pretend it never happened, I decided to take a screenshot of it and pass it through a few more iterations. I started by loading it into Irfanview and doing an ‘Auto-adjust’ on the colours. A light trace of what appeared to be electronic circuitry appeared through the black space. I opened up the manual colour corrections panel and played with the sliders. Increasing the Gamma Correction levels brought the traces out from hiding. What the!
Long story short, I can’t reproduce the effect from the original photo, but I did reproduce it by uploading a photo I took of the moon over Gawler Ranges in the black of night and then taking a screenshot of it and turning the gamma level up. I’m not sure if that points to a WordPress specific formatting artifact, or a WordPress specific method for determining levels of light pollution. Either way, it’s pretty cool. I’m working on the circuits around the moon now to see what I can do with them. Stay tuned…
whereby I test a personal signature to place upon my future databendings.
Update – 4/04/15: Test Patterns
1024 x 768 Test Pattern
Canon 450D Test Pattern
Another test pattern…
Above is a screenshot of a 14 x 13 bitmap of a colourful square rotated 45°, after being glitched in Wordpad. It served as the starting point for the images below. I used a combination of Audacity, my smartphone camera, and Irfanview’s .raw file viewer to create them. I am astounded by the variety. Perhaps because I have such a propensity for perceiving pareidolia and thinking it significant. In any case, I post here for you to decide for yourself. Made in Australia.
Evolution of an 8×8 pixel bitmap by #glitch selection.
The original plan was to add another entry to the Sydney-Ceduna travel journal, but being so obsessed at the moment with glitch art and databending experiments I couldn’t resist their distractions.
I took the background photo at a small salt lake on White River Road, south of Tumby Bay on the day that I’m supposed to be writing my next journal entry for–27 DEC 2014–and not far from where I’ve posted earlier about the ribbon of Cape Barren Geese. After giving it a basic wordpad glitching I had a listen to The James Gang’s Red Skies for old time sake. While I was searching for the link to it, Google suggested I take a look at Red Skies Crossover; “an informal term to refer to a tangential tie-in to a crossover event”. So began my first attempt to construct a collage since I was a primary school student.
The monitor lizard (Anti-Monitor) comes from a meeting earlier in the trip at Gol Gol State Forest. Anti-Monitor is here facing up against Monitor – one of the group of heroes, including Superman, that I found as Christmas decorations in a field outside of Parkes on day one of my trip to Ceduna and back. Finally, the black shouldered kite is Harbinger. She was captured on my digital film at Coffin Bay on the morning of 28 DEC 2014. I’ll leave the rest to your imagination!
The Red Skies Crossover Collage
Your experimental poem in images, the light stripped back to its core, inspired me to compose some music so to speak.
I began by importing each of your images into Audacity as Raw Data, one image per track.
Light Stripped Back – The Audio
I then exported the composite out to .raw format (without adding any effects or adjustments), and experimented with various Byte per Pixel constructions and RGB arrangements until I had a couple of pleasing results in .bmp format. Then I went back to Audacity and did basically the same thing over and over except I rotated the images into different orientations before importing them to see what would happen.
I was surprised to learn that a single image can be listened to 36 000 different ways: rotated 0.01° right, 0.02° right, 0.03°… through 360°. For a three image recording that would be 36 000³, or 46 656 x 10⁹ ways to listen. Needless to say I didn’t muck around with all those fine details but went straight to the extremes with my experimentation: 45°, 90°, 135° etc. The resulting sound files were actually quite pleasant to listen to. A bit like a helicopter passing through a muffler.
After much fiddling and occasional visits to the hex editor to reconstruct bitmap headers or push pixels across the colour map, I had a series of three images to respond to you with. But then I thought, what if I put those three back into Audacity and export them back out again? So I did. And now I have four images to respond with!
Thanks for the materials and inspiration, Mark. I hope you find the results not only as aesthetically pleasing as I have, but also that the process reflects a kind of thematically responsive philosophy – On the light stripped back to its core.
On the light stripped back to its core