View allAll Photos Tagged imageprocessing
Glitch of commons.wikimedia.org/wiki/File:Atombombe_Little_Boy_2.jpg, an image of the Little Boy atom bomb.
Average image of my set Ocean Baths created using Dubster's Average tool. The vertical lines are artefacts caused by averaging photos of different aspect ratios.
Average image of my set Northern Territory 2008 created using Dubster's Average tool. The vertical lines are artefacts caused by averaging photos of different aspect ratios.
This is the result of some processing that I applied to a photo by Marc who asked for advice...
www.flickr.com/photos/beckerbulldog/3733828182/in/photost...
Here is a description of the processing I did to give Marc the idea.
www.flickr.com/groups/theportraitgroup/discuss/7215762165...
I have used Picnik accessed from Flickr to enhance NASA's fabulous image of Britain covered by snow. My goal was to enhance or extract the "conurbations" or urban and suburban areas to make them stand out more from the non-conurbations or rural areas. (The word "conurbations" is new to me.)
The improvement was quite noticable on my computer monitor. Now, let's see how it looks on Flickr.
equipment: Apple iMac computer. Older and not very fast, but fast enough. Just takes a few seconds. I didn't clock it, since it was very fast.
I am pleased with the result. What do you think?
I really need a good mosaic software tool that will enable me to combine images of a shape of my choosing. Do you know of anything that is flexible for the Mac? Or for the PC for that matter?
_47061196_greatbritainjpg_2
Day 227: Marginally less creepy than the wolfman Picasa looking picture from yesterday. B&W conversion in camera with HDR filter applied in camera (not sure what this does exactly, I think it just adds a bit of fill light). ISO 3200, but this time properly exposed.
Eric
Glitched and statistically processed images of a beach on Cape Cod, Massachusetts, in the Cape Cod National Seashore.
Glitched photograph of North Dakota, out north of Teddy Roosevelt National Park. The image was partially sorted and recombined with a version of itself that had been passed through a Fast Fourier Transform (the fine wavy patterns) and channel-swapped (the colored triangles). JPEG artifacts were used as a mask. The image was spartially orted one last time, on a vertical axis, to produce the spikes and rearrange the composition.
A visualization of a work from Alma de la Serra's portfolio Evidence, Late Harvest, Winter Light II (remix).
Interrupted pixel-sorting + channel-swapping. For source image, see Wikimedia Commons, commons.wikimedia.org/wiki/File:OperationHueCity1967wound....
This is another atempt of creating my own dynamic range increasing algorithm using Python and PIL.
This time I tried to generate some kind of a map out of the 3 input images to mark which region and how much of this I want to have in my final image.
My script needs 3 parameters a Limit for black, a limit for white and a region of middletones.
With these values it creates such a map. Then the map gets blurred and the 3 input images get merged together exactly the way the map specifies.
I think there is still a lot to do, but this is probably the best idea I had so far and I think the results aren't that bad!
The script will be realesed under GNU/GPL on the-engine.at
I wrote a script for Blender that converts the pixels in an image to inclined planes. The darker the pixel the more the plane is tilted down to shadow it. When viewed with a light overhead the image is visible. It is handy to do have done it in blender instead of a standalone c++ app because it can fairly accurately simulate how it will look under real lighting conditions and as a bonus the resulting geometry can be directly exported for 3d printing or some such digital fabrication process
Check out the detail image to see the geometry a bit closer: www.flickr.com/photos/mrbell/10061775353/in/photostream/
An example of my image processing from straight out of the camera to finished file. Shot with the Sony a7iii and Canon 24-105/4 L. All work and perspective correction done in Luminar 2018.
Remix of an original image from the U.S. Government, in the public domain: commons.wikimedia.org/wiki/File:Lyndon_B._Johnson_taking_....
Color distribution visualization of a fleshy image and the keyboard of the Enigma Machine, combined with a mask generated from JPEG compression artifacts. Though it was created with an app designed for glitching, this is not exactly glitch art, IMO, but a kind of visualization art with chance operations providing noise and unpredictable artifacts.
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. Part of a series on nuclear testing in the 1950s and 60s.
A visualization of a work from Alma de la Serra's portfolio Evidence, Late Harvest, Winter Light II (remix).
Processed on brightness, hue and saturation vertically and then horizontally. Post-processing with Vector Magic and Photoshop. View the source image Drifting Clouds on Wikimedia Commons.
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Interrupted pixel-sorting + channel-swapping. For source image, see Wikimedia Commons, commons.wikimedia.org/wiki/File:OperationHueCity1967wound....