Monday, 2 May 2016

Digital Imaging & Data Bending

'Digital Imaging & Photography: create an artificial or/and imaginary landscape using Photoshop'.

As part of our weekly task we were given the task of creating an artificial landscape using the editing programme of 'Photoshop'. Below are two images I have created through 'Photoshop', creating this artificial landscape, with a sense of surrealism surrounding it as these effects and changes have been edited in to create this effect. The first image is the original photograph I used to create this artificial landscape, with the second photograph below being the image I edited to create this artificial image. When viewing the second image, I have created this artificial landscape in multiple ways. To start I changed the sky within the image, replacing it with another more detailed one to create this stormy look within the image. I also edited in a cartoon image of a frog in the right hand corner.


Data Bending -

'Databending, a concept somewhat akin to circuit bending, is the purposeful creation of glitches within sound files, text, images or videos through esoteric computer wizardry.'


These three images below are all representations of data bending I have created, with glitches being made to make these effects. For example, the major colour change in these images, going from an original blue sky to a bright pinks sky. Also, parts of the original image have been moved into different areas, not fitting in directly.





















What is a digital image? What consists within a digital photograph? 

Various image files: JPEG – RAW – TIFF – GIF – PNG
-       Compression is a term described ways of cutting the size of the file.

Bits of colour:
The simplest images may contain only two colours, such as black and white, and will need only 1 bit to represent each individual pixel.

Compression schemes can be lossy or lossless.
-       A lossless compression algorithm discards no information; it looks for more efficient ways to represent an image, while making no compressions in accuracy. In contrast, lossy algorithms accept some degradation in the image in order to achieve smaller file size.



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