Wolfram Function Repository
Instant-use add-on functions for the Wolfram Language
Function Repository Resource:
Apply Floyd–Steinberg dithering to an image
ResourceFunction["FloydSteinbergDithering"][image] applies Floyd–Steinberg dithering to image. | |
ResourceFunction["FloydSteinbergDithering"][image,col] use col colors per channel. | |
ResourceFunction["FloydSteinbergDithering"][image,col,err] scales the quantization error by err to control overall noise. |
"ColorsPerChannel" | 8 | the default number of colors to use in each channel of the image |
"PreserveSize" | False | whether to preserve the original image dimensions |
Apply dithering to an image:
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Specify the number of colors per channel:
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Specify a different number of colors per channel for each channel:
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See each channel separately:
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Specify the quantization error parameter to control how "noisy" the image appears:
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Apply directly to an array of data:
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By default, the size of the image will be reduced by 1 on each side:
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Set "PreserveSize" to True to ensure the output has the same dimensions:
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For very small images, using "PreserveSize"→False can yield better image quality:
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The value of the "ColorsPerChannel" option is equivalent to using the two-argument form:
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If the second argument is provided, the option specification is ignored:
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Use Rasterize to dither arbitrary expressions:
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When giving a list as the second argument, it must have the same length as the number of image channels:
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The colorspace of an image can significantly affect the output:
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When applying to an array, all values must be numeric:
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Start by applying dithering to the grayscale version of an image:
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Extract the set of coordinates corresponding to dark pixels with PixelValuePositions and add some slight noise:
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Use FindShortestTour to generate a single line that visits very point:
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Use the original image to add some color:
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