image-noise-grid

79615_ImageNoiseGrid_str_4

 
image-noise-grid (2014-2016)
using perlin noise to generate an XY dot matrix, reading out layered image color maps with  either random distortion of color and/or appearance.
random and/or manual layering and mixing of different color-map data…

made with code (www.processing.org)
 


image-noise-grid 1 (2014)
 
 

 

 

 

 
image-noise-grid 2 (2015)
 
 


 

 

 

 
image-noise-grid 3 (2015)
 
 


 

 

 

 
image-noise-grid 4 (2016)
 
 


 

 

 

 
image-noise-grid 5 (2016)
 
 


 

 

 

swirl

V_Flower_PLUS_03-06

 

swirl series, 2009
based on a rotating bezier curve and color map read out.

 

 

 

 

de jong

 

de jong series, 2008

these works are based on the simple Peter de Jong map equations:
x’ = sin(a * y) – cos(b * x)
y’ = sin(c * x) – cos(d * y)

For most values of a,b,c and d the point (x,y) moves chaotically. The resulting image is a map of the probability that the point lies within the area represented by each pixel. As you let it render longer it collects more samples and this probability map and the image becomes more accurate.
Details »

barnsley penrose

Details »

spectr|a|um

spectraum01
spectr|a|um audio visual lounge
29. september 2007, Dexia Tower Brussels
LAB[au] and Dexia Tower invite:
Holger Lippmann (photos),  Limitatzero,  Olaf Bander