Created with newly released version of GlitchSort, 1.0b8.

Transport Levitate Glow Dissolve Disassemble Encode Decode Discombobulate Disintegrate Recombinate Surrealate Create Alliterate

IMG_4755_5

A photo of some grass taken on Thurstaston Common, Wirral.

I've processed the image to remove much of the original vibrant colours that digital cameras inevitably give, then used a warming filter to affect the remaining colour. Finally a vignette is added.

( www.creativephotobook.co.uk - a completely free online photography book )

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Low-quality JPEG glitched with pixel-sorting and channel-swapping.

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. This is the image I started out with, experimenting with pixel-sorting as a visualization technique and interrupted sorting as a way of glitching.

A Pixel Bender Shader that´s playing with Cassini ovals to generate some weird looking patterns (Launch)

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IMG_4685 - Version 3

A Fast Fourier Transform was used repeatedly on diagonally scanned blocks of pixels which had been glitched with channel-swapping in interrupted sorting operations. This is a cropped section of the image.

Aberfoyle in the snow, HTC panoramic version. Looks nice but I hate winter with a passion. There is nothing good whatsoever about winter. Oh well, could be worse, could be summer :-)

Blowing the sensor with a bulb type air blower was not sufficient to eliminate dust. Blowing dust around inside the camera actually made the problem worse. The cleaning method that worked best for me is described in detail in "The Pixel Sweeper"

www.prime-junta.net/pont/How_to/a_Brush_Your_Sensor/a_Bru...

I recommend clicking on the PDF file button at the top right. It's easier to read.

Two Birds Getting Ready to Clean the Sky

The dirty sky before cleaning the Canon 30D DSLR Sensor. There are two birds in this frame. so I didn't process the image to make the dust spots appear black. When viewed large, the dust particles appear pale blue against the sky and clouds. The dust particles are on the glass plate sealing the sensor chip underneath against dust and moisture.

IMG_4064_2

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Confocal Volume Image, blood cels

Source image captured from Google Street View.

Rice standard image - color coded with repsect to rice orientation

Found an interesting way how to stipple images which works quite different than the usual dithering techniques. The effect can only be seen correctly in the original size version.

Those 3 young girls look much nicer in an image with regular processing. The neon effect rarely if ever works for photos of peoples faces.

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FFT, glitching, noisy compositing.

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Last frame of 7 evolving de-contstructions of an already de-constructing image. Just so you know I do more than landscapes. Guess I'm still learning Flickr because they run backwards in my photo stream but check out the set to see them right

Animated version