NAME
Math::Fractal::Noisemaker - Visual noise generator
VERSION
This document is for version 0.012 of Math::Fractal::Noisemaker.
SYNOPSIS
use Math::Fractal::Noisemaker qw| :all |;
#
# use defaults
#
make();
#
# override defaults
#
make(type => 'gel',
# ...
);
A wrapper script, make-noise
, is included with this distribution.
#
# use defaults
#
make-noise
#
# override defaults
#
make-noise -type gel
#
# usage
#
make-noise --help
make-noise --help types
Noise sets are just 2D arrays, which may be generated directly using named functions.
use Math::Fractal::Noisemaker qw| :flavors |;
my $grid = square(%args);
#
# Look up a value, given X and Y coords
#
my $value = $grid->[$x]->[$y];
Imager can take care of further post-processing.
my $grid = perlin(%args);
my $img = img($grid,%args);
#
# Insert image manip methods here!
#
$img->write(file => "oot.png");
DESCRIPTION
Math::Fractal::Noisemaker provides a simple functional interface for generating 2D tiles from various flavors of fractal (and non-fractal) inputs.
As long as the specified side length is a power of the noise's frequency, this module will produce seamless tiles (with the exception of a few noise types). For example, a base frequency of 4 would work fine for an image with a side length of 256 (256x256).
FUNCTION
make(type => $type, out => $filename, %ARGS)
# # Just make some noise: # make(); # # Care slightly more: # my ( $grid, $img, $filename ) = make( # # Any MAKE ARGS or noise args here! # );
Creates the specified noise type (see NOISE TYPES), writing the resulting image to the received filename.
Unless seriously tinkering, make
may be the only function you need. make-noise
, included with this distribution, provides a CLI for this function.
Returns the resulting dataset, as well as the Imager object which was created from it and filename used.
MAKE ARGS
In addition to any argument appropriate to the type of noise being generated, make
accepts the following args in hash key form:
type => $noiseType
The type of noise to generate, defaults to Perlin. Specify any type.
make(type => 'gel');
sphere => $bool
Generate a pseudo-spheremap from the resulting noise.
When specifying
sphere
, the output image will be 50% of thelen
you asked for. This is done to avoid aliasing. Multiply the suppliedlen
argument by 2 to work around this.See
spheremap
.make(sphere => 1);
refract => $bool
"Refracted" pixel values. Can be used to enhance the fractal appearance of the resulting noise. Often makes it look dirty.
make(refract => 1);
clut => $filename
Use an input image as a color lookup table
This feature is a work in progress.
make(clut => $filename);
clutdir => <0|1|2>
0: Hypotenuse lookup (corner to corner, so it doesn't matter if the input table is oriented horizontally or vertically). This is the default. Best for seamless tiling.
1: Vertical lookup, good for generating maps which have ice caps at the poles and tropical looking colors at the equator. Output will have color seams at the poles unless viewed on a spheroid. This lookup method produces output which resembles a reflection map, if a photograph is used for the
clut
.2: Fractal lookup, uses the same methodology as
refract
. Also good for seamless tiling.make(clut => $filename, clutdir => 1);
limit => <0|1>
0: Scale the pixel values of the noise set to image-friendly levels
1: Clamp pixel values outside of a representable range
make(limit => 1);
quiet => <0|1>
Don't spam console
make(quiet => 1);
out => $filename
Output image filename. Defaults to the name of the noise type being generated.
make(out => "oot.bmp");
shadow => $float
Amount of self-shadowing to apply, between 0 and 1.
emboss => <0|1>
Render lightmap only
NOISE TYPES
SIMPLE NOISE
Simple noise types may be specified as Perlin slice types (stype
)
white(%args)
Each non-smoothed pixel contains a pseudo-random value
wavelet(%args)
Basis function for sharper Perlin slices
square(%args)
Diamond-Square
gel(%args)
Self-displaced white noise; see GEL TYPES
sgel(%args)
Self-displaced Diamond-Square noise; see GEL TYPES
dla(%args)
Diffusion-limited aggregation, seeded from multiple random points.
mandel(%args)
Fractal type - Mandelbrot. Included as a demo.
dmandel(%args)
Fractal type - Deep Mandelbrot. Picks a random "interesting" location in the set (some point with a value which neither hovers near 0 nor flies off into infinity), zooms in a random amount, and embellishes the palette.
buddha(%args)
Fractal type - "Buddhabrot" Mandelbrot variant. Work in progress.
fflame(%args)
IFS type - "Fractal Flame". Work in progress. Neat.
fern(%args)
IFS type - Barnsley's fern. Included as a demo.
gasket(%args)
IFS type - Sierpinski's triangle/gasket. Included as a demo.
stars(%args)
White noise generated with extreme gappiness and smoothed
spirals(%args)
Tiny logarithmic spirals
voronoi(%args)
Ridged Voronoi cells.
moire(%args)
Interference pattern with blended image seams.
Appearance of output is heavily influenced by the
freq
arg.textile(%args)
Moire noise with a randomized and large
freq
arg.infile(%args)
Import the brightness values from the file specified by the "in" or "-in" arg.
my $grid = infile( in => "dirt.bmp" );
intile(%args)
Calls
infile
, and makes a seamless repeating tile from the image.my $grid = intile( in => "dirt.bmp" );
sparkle
Stylized starfield
Simple noise types accept the following arguments in hash key form:
amp => $num
Amplitude, or max variance from the bias value.
For the purposes of this module, amplitude actually means semi- amplitude (peak-to-peak amp/2).
make(amp => 1);
freq => $num
Frequency, or "density" of the noise produced.
For the purposes of this module, frequency represents the edge length of the starting noise grid.
make(freq => 8);
len => $int
Side length of the output images, which are always square.
make(len => 512);
bias => $num
"Baseline" value for all pixels, .5 = 50%
make(bias => .25);
smooth => $bool
Enable/disable noise smoothing. 1 is default/recommended
make(smooth => 0);
zoom => $num
Used for fractal types only. Magnifaction factor.
make(type => 'mandel', zoom => 2);
maxiter => $int
Used for fractal types only. Iteration limit for determining infinite boundaries, larger values take longer but are more accurate/look nicer.
make(type => 'mandel', maxiter => 2000);
PERLIN TYPES
Perlin noise combines the values from multiple 2D slices (octaves), which are generated using successively higher frequencies and lower amplitudes.
The slice type used for generating Perlin noise may be controlled with the stype
argument. Any simple type may be specified.
The default slice type is smoothed wavelet
noise.
perlin(%args)
Perlin
make(type => 'perlin', stype => '...');
ridged(%args)
Ridged multifractal - provide
zshift
arg to specify a post-processing bias.make(type => 'ridged', stype => '...', zshift => .5 );
block(%args)
Unsmoothed Perlin
make(type => 'block', stype => ...);
pgel(%args)
Self-displaced Perlin noise; see GEL TYPES
make(type => 'pgel', stype => ...);
fur(%args)
Fur-lin noise; traced paths of worms with Perlin input.
tesla(%args)
Long, fiberous worm paths with random skew.
delta(%args)
Difference noise; output contains absolute values of subtracting two noise sets.
make( type => "delta" );
Use
ltype
to specify any simple or perlin layer type.make( type => "delta", ltype => "gel" );
chiral(%args)
Twin noise; output contains the lightest values of two noise sets.
make( type => "chiral" );
Use
ltype
to specify any simple or perlin layer type.make( type => "chiral", ltype => "tesla" );
stereo(%args)
Stereoscopic depth map.
Use
ltype
to specify any simple or perlin layer type.
In addition to any of the args which may be used for simple noise types, Perlin noise types accept the following arguments in hash key form:
octaves => $int
e.g. 1..8
Octave (slice) count, increases the complexity of Perlin noise. Higher generally looks nicer.
my $blurry = make(octaves => 3); my $sharp = make(octaves => 8);
stype => $simpleType
Perlin slice type, defaults to
wavelet
. Any simple type may be specified.my $grid = make(stype => 'gel');
COMPLEX NOISE
complex
Complex layered noise
make(type => "complex");
Complex noise is a homebrew noise recipe inspired by (but not using) libnoise.
This function generates a noise base and multiple noise layers. Each pixel in the resulting noise is blended towards the value in the noise layer which corresponds to the reference value in the noise base. Finally, the noise base itself is very slightly superimposed over the combined layers.
my $grid = complex();
Presets for hundreds of noise variants (many of them quite interesting visually) may be generated through this function, by combining different base types, layer types, and slice types.
my $grid = complex( lbase => <any noise type but complex>, ltype => <any noise type but complex>, stype => <any simple type>, # ... );
In addition to all simple and Perlin args, complex noise accepts the following args in hash key form:
feather => $num
e.g. 0..255
Amount of blending between different regions of the noise.
make(type => 'complex', feather => 50);
layers => $int
Number of complex layers to generate
make(type => 'complex', layers => 4);
lbase => $noiseType
Complex layer base - defaults to "perlin". Any type except for
complex
may be used.make(type => 'complex', lbase => 'gel');
ltype => $noiseType
Complex layer type - defaults to "perlin". Any type except for
complex
may be used.make(type => 'complex', ltype => 'gel');
GEL TYPES
The simple and Perlin "gel" types (gel
, sgel
, pgel
) accept the following additional arguments:
offset => $float
Amount of self-displacement to apply to gel noise
make(type => 'gel', offset => .125);
MORE FUNCTIONS
img($grid,%args)
my $grid = perlin(); my $img = img($grid,%args); # # Insert Imager image manip stuff here! # $img->write(file => "oot.png");
Returns an Imager object from the received two-dimensional grid.
clamp($value)
Limits the received value to between 0 and 255. If the received value is less than 0, returns 0; more than 255, returns 255; otherwise returns the same value which was received.
my $clamped = clamp($num);
noise($grid, $x, $y)
The so-called "noise function" required to generate coherent noise. Returns the same "random" value each time it is called with the same arguments (makes it more like a key hashing function a la memcached doesn't it? Not very random, if you ask me).
Math::Fractal::Noisemaker diverges from most Perlin implementations in that its noise function simply utilizes a lookup table. The lookup table contains pre-populated random values. Turns out, this works fine.
lerp($a, $b, $x)
Linear interpolate from $a to $b, by $x percent. $x is between 0 and 1.
coslerp($a, $b, $x)
Cosine interpolate from $a to $b, by $x percent. $x is between 0 and 1.
smooth($grid, %args)
# # Unsmoothed noise source # my $grid = white(smooth => 0); my $smooth = smooth($grid,%args);
Perform smoothing of the values contained in the received two-dimensional grid. Returns a new grid.
Smoothing is on by default.
spheremap($grid, %args)
Generates a fake (but convincing) spheremap from the received 2D noise grid, by embellishing the polar regions.
Re-maps the pixel values along the north and south edges of the source image using polar coordinates, slowly blending back into original pixel values towards the middle.
Returns a new 2D grid of pixel values.
my $grid = perlin(%args); my $spheremap = spheremap($grid,%args);
See MAKE ARGS
refract($grid,%args)
Return a new grid, replacing the color values in the received grid with one-dimensional indexed noise values from itself. This can enhance the "fractal" appearance of noise.
my $grid = perlin(%args); my $refracted = refract($grid);
See MAKE ARGS
displace($grid,%args)
Use the received grid as its own displacement map; returns a new grid.
The amount of displacement is controlled by the
displace
arg.See GEL TYPES
SEE ALSO
Math::Fractal::Noisemaker is on GitHub: http://github.com/aayars/noisemaker
Noisemaker borrows inspiration and/or pseudocode from these notable sources.
- http://freespace.virgin.net/hugo.elias/models/m_perlin.htm
Perlin
- http://gameprogrammer.com/fractal.html
Diamond-Square
- http://graphics.pixar.com/library/WaveletNoise/paper.pdf
Wavelet (Pixar)
- http://www.complang.tuwien.ac.at/schani/mathmap/stills.html
Moire (MathMap)
- http://libnoise.sourceforge.net/
Libnoise is pro
- http://flam3.com/flame.pdf
Fractal Flame
... and a host of others.
AUTHOR
Alex Ayars <pause@nodekit.org>
COPYRIGHT
File: Fractal/Noisemaker.pm
Copyright (c) 2009 Alex Ayars
All rights reserved. This program and the accompanying materials
are made available under the terms of the Common Public License v1.0
which accompanies this distribution, and is available at
http://opensource.org/licenses/cpl1.0.txt