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Testing new settings in Percolator — This is a new Serve setting (post processing filter) called Good Morning! Which basically overlays a warm gradient over the Percolated image.
I have a twitter: Tinrocket
Glitch, remix of commons.wikimedia.org/wiki/File:Atombombe_Little_Boy_2.jpg, an image of the Little Boy atom bomb.
Look at the original size to see the glitching in detail.
6 image VFX Composition
Images used to create the composition in the next image.
They were placed, masked, blended, re-composed, sharpened and Colour graded.
- Photoshop -
I generated a series of images where a color distribution visualization of a fleshy image and a glitched image of the keyboard of the Enigma Machine were combined with a mask generated from JPEG compression artifacts. This image is the statistical median of the series blended with the statistical maximum of the series.
Processes: channel-swapping, degrading with JPEG compression, sorting + munging with original image. Still from a GIF animation.
Six portraits of Luther Blissett, glitched with various operations, including Fourier transforms on various channels.
Statistical FFT performed on different color channels (RGB) at different scales, then contrant-enhanced with different settings in the statistical FFT, followed by a median (denoise) filter, all in GlitchSort.
source: commons.wikimedia.org/wiki/File:San_marcos_bullfight_01.jpg, Bullfight at San Marcos Fair, Aguascalientes, Mexico, May 1, 2010, by Tomas Castelazo. Licensed under Creative Commons-Attribution-ShareAlike, creativecommons.org/licenses/by-sa/3.0/deed.en
They look so floaty... It began to enter a light haze like floating up to the bright light...
IMG_4755_4
Glitch, remix of commons.wikimedia.org/wiki/File:Atombombe_Little_Boy_2.jpg, an image of the Little Boy atom bomb. From a MAD time, of Mutually Assured Destruction.
just a goofy little image-processing test I made that I think looks like a cheap tiffen "star" filter
The diagonally aligned pattern is a result of a Fast Fourier Transform that cut some low frequencies. The JPEG algorithm does something similar, with a variant of the FFT, the Discrete Cosine Transform. JPEG tries to remove frequencies the human eye is unlikely to detect. Here, on the contrary, I try to emphasize bands the human will definitely detect. Other processes in the image include channel-swapping, pixel-sorting, and using JPEG artifacts as a compositing mask.
Autumn Colors 2011 in Tucson:
Tucson is definitely not known for its autumn colors! Here is a series I did on Fort Lowell Park's Autumn Colors of 2011.
The following day I was "hiking" (really walking as part of my Cardiac Rehab Phase 3 Program ) in Sabino Canyon. I did not see any colors as good as these in Fort Lowell Park. That was a surprise..
I did some image post-processing for fidelity to the Image in my Mind"
I love how the curve of the lower right leaf echoes or evokes the curve of this lovely thumb. That is total serendipity... I didn't see all that at the time... I did severely crop the original photograph to bring all this together, and it seemed to hit me between the eyes...
I see more things as I look at it. The thumb and forefinger together remind me of the two rightmost leaves' seeming pincer movement... I better stop now...;)
101_0534 - Version 2
Pink apartment building near Foster Beach, on the north side of Chicago, four different runs of glitching/visulaization software assembled into one image. These are somewhere between visualizations and glitches. The image is degraded (glitch), but it provides information about its structure (visualization). In this case, the visualization uses pixel-sorting to reveal the distribution of color in local areas, but it also reveals the mark of the sorting tool.
