#bluenoise — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bluenoise, aggregated by home.social.
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A Report from the Field (2026)
Irregular grid from blue noise point distribution, made with #Processing#algorithmic #chance #random #noise #bluenoise #grid #algorithmicart
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A Report from the Field (2026)
Irregular grid from blue noise point distribution, made with #Processing#algorithmic #chance #random #noise #bluenoise #grid #algorithmicart
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A Report from the Field (2026)
Irregular grid from blue noise point distribution, made with #Processing#algorithmic #chance #random #noise #bluenoise #grid #algorithmicart
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A Report from the Field (2026)
Irregular grid from blue noise point distribution, made with #Processing#algorithmic #chance #random #noise #bluenoise #grid #algorithmicart
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A Report from the Field (2026)
Irregular grid from blue noise point distribution, made with #Processing#algorithmic #chance #random #noise #bluenoise #grid #algorithmicart
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Saturday AM, a story in two acts...
(Incl. placing crumbs by approaching it like a #PoissonDisk / #BlueNoise problem... 😅)
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Saturday AM, a story in two acts...
(Incl. placing crumbs by approaching it like a #PoissonDisk / #BlueNoise problem... 😅)
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Saturday AM, a story in two acts...
(Incl. placing crumbs by approaching it like a #PoissonDisk / #BlueNoise problem... 😅)
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Saturday AM, a story in two acts...
(Incl. placing crumbs by approaching it like a #PoissonDisk / #BlueNoise problem... 😅)
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Saturday AM, a story in two acts...
(Incl. placing crumbs by approaching it like a #PoissonDisk / #BlueNoise problem... 😅)
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I also tried asking various LLM models to give me C code to generate blue noise. This didn't work. Like, at all.
Then I just asked them to describe what blue noise is, and oh boy, did I ever get wild answers.
One said blue noise is errors in electric signal. Another said it's blue noise because it's shades of blue. And so on.
It's like you take a classroom of students and ask them to write an essay about something they might vaguely know about. Like blue noise.
You get a bunch of very confident and wrong answers.
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I also tried asking various LLM models to give me C code to generate blue noise. This didn't work. Like, at all.
Then I just asked them to describe what blue noise is, and oh boy, did I ever get wild answers.
One said blue noise is errors in electric signal. Another said it's blue noise because it's shades of blue. And so on.
It's like you take a classroom of students and ask them to write an essay about something they might vaguely know about. Like blue noise.
You get a bunch of very confident and wrong answers.
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I also tried asking various LLM models to give me C code to generate blue noise. This didn't work. Like, at all.
Then I just asked them to describe what blue noise is, and oh boy, did I ever get wild answers.
One said blue noise is errors in electric signal. Another said it's blue noise because it's shades of blue. And so on.
It's like you take a classroom of students and ask them to write an essay about something they might vaguely know about. Like blue noise.
You get a bunch of very confident and wrong answers.
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I also tried asking various LLM models to give me C code to generate blue noise. This didn't work. Like, at all.
Then I just asked them to describe what blue noise is, and oh boy, did I ever get wild answers.
One said blue noise is errors in electric signal. Another said it's blue noise because it's shades of blue. And so on.
It's like you take a classroom of students and ask them to write an essay about something they might vaguely know about. Like blue noise.
You get a bunch of very confident and wrong answers.
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I also tried asking various LLM models to give me C code to generate blue noise. This didn't work. Like, at all.
Then I just asked them to describe what blue noise is, and oh boy, did I ever get wild answers.
One said blue noise is errors in electric signal. Another said it's blue noise because it's shades of blue. And so on.
It's like you take a classroom of students and ask them to write an essay about something they might vaguely know about. Like blue noise.
You get a bunch of very confident and wrong answers.
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The blue noise texture itself I generated by generating N candidate random pixels (x/y/gray for 3d coordinate) and picking the one that's farthest away from all the existing ones. Brute force. Took maybe an hour. Fun!
There may be better ways to generate it, and there may be better blue noise textures out there, but this one's mine. It also tiles.
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The blue noise texture itself I generated by generating N candidate random pixels (x/y/gray for 3d coordinate) and picking the one that's farthest away from all the existing ones. Brute force. Took maybe an hour. Fun!
There may be better ways to generate it, and there may be better blue noise textures out there, but this one's mine. It also tiles.
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The blue noise texture itself I generated by generating N candidate random pixels (x/y/gray for 3d coordinate) and picking the one that's farthest away from all the existing ones. Brute force. Took maybe an hour. Fun!
There may be better ways to generate it, and there may be better blue noise textures out there, but this one's mine. It also tiles.
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The blue noise texture itself I generated by generating N candidate random pixels (x/y/gray for 3d coordinate) and picking the one that's farthest away from all the existing ones. Brute force. Took maybe an hour. Fun!
There may be better ways to generate it, and there may be better blue noise textures out there, but this one's mine. It also tiles.
-
The blue noise texture itself I generated by generating N candidate random pixels (x/y/gray for 3d coordinate) and picking the one that's farthest away from all the existing ones. Brute force. Took maybe an hour. Fun!
There may be better ways to generate it, and there may be better blue noise textures out there, but this one's mine. It also tiles.
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Played around with blue noise a bit. The attached image has four different variations (using the zx spectrum next color space as target). The source image is from thispersondoesnotexist.
First is a straight conversion with no dither, second is converted to 32 colors with pattern dither in photoshop, third is blended with blue noise texture at 10% and last has 5% uniform noise added before conversion.
It's not exactly apples to apples comparison because these are all done in photoshop and I didn't tweak things to look as good as possible (given that tweaking a value is a undo-undo-undo, tweak, collapse, filter), but the blue noise looks fairly good.
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Played around with blue noise a bit. The attached image has four different variations (using the zx spectrum next color space as target). The source image is from thispersondoesnotexist.
First is a straight conversion with no dither, second is converted to 32 colors with pattern dither in photoshop, third is blended with blue noise texture at 10% and last has 5% uniform noise added before conversion.
It's not exactly apples to apples comparison because these are all done in photoshop and I didn't tweak things to look as good as possible (given that tweaking a value is a undo-undo-undo, tweak, collapse, filter), but the blue noise looks fairly good.
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Played around with blue noise a bit. The attached image has four different variations (using the zx spectrum next color space as target). The source image is from thispersondoesnotexist.
First is a straight conversion with no dither, second is converted to 32 colors with pattern dither in photoshop, third is blended with blue noise texture at 10% and last has 5% uniform noise added before conversion.
It's not exactly apples to apples comparison because these are all done in photoshop and I didn't tweak things to look as good as possible (given that tweaking a value is a undo-undo-undo, tweak, collapse, filter), but the blue noise looks fairly good.
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Played around with blue noise a bit. The attached image has four different variations (using the zx spectrum next color space as target). The source image is from thispersondoesnotexist.
First is a straight conversion with no dither, second is converted to 32 colors with pattern dither in photoshop, third is blended with blue noise texture at 10% and last has 5% uniform noise added before conversion.
It's not exactly apples to apples comparison because these are all done in photoshop and I didn't tweak things to look as good as possible (given that tweaking a value is a undo-undo-undo, tweak, collapse, filter), but the blue noise looks fairly good.
-
Played around with blue noise a bit. The attached image has four different variations (using the zx spectrum next color space as target). The source image is from thispersondoesnotexist.
First is a straight conversion with no dither, second is converted to 32 colors with pattern dither in photoshop, third is blended with blue noise texture at 10% and last has 5% uniform noise added before conversion.
It's not exactly apples to apples comparison because these are all done in photoshop and I didn't tweak things to look as good as possible (given that tweaking a value is a undo-undo-undo, tweak, collapse, filter), but the blue noise looks fairly good.
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The #science of #noise colors: why #whitenoise makes you #sleepy and #bluenoise helps you #focus
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The #science of #noise colors: why #whitenoise makes you #sleepy and #bluenoise helps you #focus
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The #science of #noise colors: why #whitenoise makes you #sleepy and #bluenoise helps you #focus
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The #science of #noise colors: why #whitenoise makes you #sleepy and #bluenoise helps you #focus
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The #science of #noise colors: why #whitenoise makes you #sleepy and #bluenoise helps you #focus
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I never thought about the fact that random number generators in games might feel unfair to players. You might not roll that 10% chance in 20 tries while another player hits it twice in a row. So there are algorithms to make "10% chance" feel more like "about once every 10 rolls".
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I never thought about the fact that random number generators in games might feel unfair to players. You might not roll that 10% chance in 20 tries while another player hits it twice in a row. So there are algorithms to make "10% chance" feel more like "about once every 10 rolls".
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I never thought about the fact that random number generators in games might feel unfair to players. You might not roll that 10% chance in 20 tries while another player hits it twice in a row. So there are algorithms to make "10% chance" feel more like "about once every 10 rolls".
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I never thought about the fact that random number generators in games might feel unfair to players. You might not roll that 10% chance in 20 tries while another player hits it twice in a row. So there are algorithms to make "10% chance" feel more like "about once every 10 rolls".
-
I never thought about the fact that random number generators in games might feel unfair to players. You might not roll that 10% chance in 20 tries while another player hits it twice in a row. So there are algorithms to make "10% chance" feel more like "about once every 10 rolls".
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Deep dive into 2D #BlueNoise generation by @graeme:
Some low discrepancy noise functions
https://graemephi.github.io/posts/some-low-discrepancy-noise-functions/ -
Deep dive into 2D #BlueNoise generation by @graeme:
Some low discrepancy noise functions
https://graemephi.github.io/posts/some-low-discrepancy-noise-functions/ -
Deep dive into 2D #BlueNoise generation by @graeme:
Some low discrepancy noise functions
https://graemephi.github.io/posts/some-low-discrepancy-noise-functions/ -
Deep dive into 2D #BlueNoise generation by @graeme:
Some low discrepancy noise functions
https://graemephi.github.io/posts/some-low-discrepancy-noise-functions/ -
Deep dive into 2D #BlueNoise generation by @graeme:
Some low discrepancy noise functions
https://graemephi.github.io/posts/some-low-discrepancy-noise-functions/