M 088 / 18304 Print & Ditheralgorithm output

1-Bit Threshold

dither, printing & texture

Typeface · Pixelify Sans

Real-world algorithm demonstration, applied to a NASA portrait.
Real-world algorithm demonstration, applied to a NASA portrait.Image: NASA / Eileen Collins · scikit-image (public domain)View source ↗

Prompt

Apply a 1-Bit Threshold effect, forcing every pixel to either pure black or pure white using one consistent brightness cutoff. Create solid shadow masses, stark white highlights, abrupt hard contours, and simplified internal detail, with no gray, dithering, grain, or soft transitions. Keep the original subject and composition.

Identify

Only black and white remain.

Principle

Each pixel1 is subject to a hard decision between two states.

Try it out

Test three different thresholds2.

Classification

Calculated image processing result.

Further examples · 7 images

Oversampled binary sensor imaging model
02 Oversampled binary sensor imaging modelA technical diagram showing the conversion of a continuous signal into a binary sensor output. The bottom row visualizes the result of thresholding, where values become strictly black or white.Toweryang · CC BY-SA 3.0 · Wikimedia Commons
Mitterrand Minitel Videotex 1981-05-10 v1b 1bpp tr 3X
03 Mitterrand Minitel Videotex 1981-05-10 v1b 1bpp tr 3XA pixelated portrait rendered in absolute black and white. It demonstrates a 1-bit depth where every square pixel is assigned to one of two states, removing all gray tones.Unknown Minitel artist or copier. Own editions. · CC BY-SA 4.0 · Wikimedia Commons
Construction workers in Mexico
04 Construction workers in MexicoThis image contains only two pixel states, pure black and pure white. It illustrates the high-contrast result of a digital threshold operation where all mid-tones are eliminated in favor of a binary value.Tomascastelazo · CC BY-SA 4.0 · Wikimedia Commons
1-Bit Threshold, applied to “Painter. Anchor Mills, former embroidery mill, Paisley”
05 1-Bit Threshold, applied to “Painter. Anchor Mills, former embroidery mill, Paisley”A stone building with a painter on a ladder is reduced to pure black and white. Three panels demonstrate how increasing the threshold value eliminates lighter gray tones, eventually leaving only high-contrast dark shapes.Colin (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons
1-Bit Threshold, applied to “Kimono Forest at night, Arashiyama Station, Arashiyama, Kyoto, Japan”
06 1-Bit Threshold, applied to “Kimono Forest at night, Arashiyama Station, Arashiyama, Kyoto, Japan”The vertical pillars of the Kimono Forest are shown as binary values. As the threshold rises, the decorative patterns on the cylinders shift from white silhouettes to thin, black outlines against a dark background.Yasumichi Morita (designer) Basile Morin (photographer) (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons
1-Bit Threshold, applied to “Santuario de Las Lajas, Ipiales, Colombia, 2015-07-21, DD 21-23 HDR”
07 1-Bit Threshold, applied to “Santuario de Las Lajas, Ipiales, Colombia, 2015-07-21, DD 21-23 HDR”The sanctuary and surrounding landscape are rendered without grayscale. Lower thresholds keep the sky and masonry white, while the highest threshold obscures most details of the bridge and mountains into solid black.Diego Delso (photo); processed for the Atlas · CC BY-SA 4.0 · Wikimedia Commons