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noise-tool: cleanup and add normalisation

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This commit is contained in:
Danny Robson 2015-05-26 16:37:41 +10:00
parent fedbef630b
commit 9701290c4b
1 changed files with 24 additions and 8 deletions
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32
tools/noise.cpp
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@ -1,22 +1,38 @@
#include "image.hpp"
#include "noise.hpp"
#include "noise/lerp.hpp"
#include "extent.hpp"
int
main (void)
{
util::image::buffer<float> img (1920, 1080);
// setup the output buffer
util::extent2u size (1920, 1080);
util::image::buffer<float> img (size);
//static constexpr auto lerp_t = lerp::cubic;
//using basis_t = util::noise::gradient<lerp_t>;
//using noise_t = util::noise::fbm<basis_t>;
// setup the noise generator
//util::noise::fbm<float, util::noise::cellular<float>> b;
util::noise::rmf<float, util::noise::gradient<float,util::lerp::quintic>> b;
b.octaves = 3;
b.frequency = 10.f / size.w;
b.basis.seed = time (NULL);
using noise_t = util::noise::fbm<float,util::noise::gradient<float,util::lerp::quintic>>;
//using noise_t = util::noise::musgrave<float,util::noise::gradient<float,util::lerp::quintic>>;
//using noise_t = util::noise::fbm<float,util::noise::cellular<float>>;
// generate the values. offset positions slightly to avoid simple axis issues with perlin basis
for (size_t y = 0; y < size.h; ++y)
for (size_t x = 0; x < size.w; ++x) {
auto v = b (x + 20, y + 20);
img.data ()[y * size.w + x] = v;
}
util::noise::fill (img, noise_t {});
// rescale into the range [0, 1]
auto range = std::minmax_element (img.begin (), img.end ());
auto offset = *range.first;
auto div = *range.second - *range.first;
std::cerr << "range: [" << *range.first << ", " << *range.second << "]\n";
std::transform (img.begin (), img.end (), img.begin (), [offset,div] (auto i) { return (i - offset) / div; });
// write the image to disk
auto grey = img.clone<uint8_t> ();
util::pgm::write (grey, "noise.ppm");
}