Arfunkel - Functions for Art
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Presentation given at the meetup of Creative Coding Amsterdam, on a small project called 'Arfunkel' that contains several functions for generating aesthetically interesting images. All written in Java 8.
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Arfunkel - Functions for Art
- 1. Arfunkel: Functions for Art Creative Coding Amsterdam 18 February 2016 Eelco den Heijer
- 2. Introduction •Arfunkel : Art Functions •Functions on Images •Generative Art •Building Blocks •Not a Tool: Framework
- 3. Me •Programmer (mainly Java), Creative Coder •Many projects on Creative Coding •PhD on Evolutionary Art (2013,CS,VU) •Studio Heist •Also like Music Technology (electronic music, generative music, coding…)
- 6. Functions on Functions •or: Higher Order Functions •Repeat/ loop (e.g. kaleidoscope) •If/then/else •Etc.
- 7. blending pixels • each pixel consists of 3 components: R,G,B • RGB is a colour space or colour model • Colour space = way to organize or order colors • Well-known colour spaces: RGB, HSV/HSB, HSL, CMYK, YIC, CIEXYZ, CIELUV,CIELAB etc.
- 9. Blending: how? • Blend 2 images: • Iterate over all pixels (x,y): • Pixel p1 from image 1, Pixel p2 from image 2: • Take RGB from both pixels • Convert to HSV (or any other colour space) • apply function fi to each channel i (e.g. average, min, max, left, right, etc) : vi=fi(ci1,ci2); see next slide for more details • Convert back to RGB
- 10. Example • Colour space = HSV • Components c1,c2,c3=Hue, Saturation, Value • functions: f1,f2,f3=min, max, avg • New pixel: • huenew=min(hue1,hue2) • satnew=max(sat1,sat2) • valnew=avg(val1,val2) • Convert from hsv back to RGB
- 12. Recolouring • Changing the colours in an image • Used for image repair, fixing lighting issues, or artistic purposes • Several algorithms possible, often with source image and target image • Channel shift algorithm • Convert RGB to HSV (or any other colour space) • Take value of each channel, shift predefined value • Ensure you do not cross boundary values
- 13. RGB HSV CIELAB
- 14. Mirroring • Simple horizontal, vertical mirror • Sort of Kaleidoscope effect
- 15. Misc •Several standard, ‘bread and butter’ filters; •Solarize •Blur •Posterize •Image Segmentation
- 18. Workflow ex. 1 Get Image Get Image Blend Recolour Solarize
- 19. Workflow ex. 2 Get Image Get Image Blend Recolour Mirror Left/Right Recolour
- 26. Conclusions & Future work • First Scala, now Java 8 • Heavy use of ‘lambdas’ • Pretty flexible, still prototype • More weird recolouring (colour transfer) • Higher order functions • Colouring (grayscale to colour) • Grammar; Little Language (my own Processing) • REPL: Read-Eval-Print Loop