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  2. Potrace - Wikipedia

    en.wikipedia.org/wiki/Potrace

    FontForge can use Potrace to import a bitmap image into a font. Potrace is also used by the music engraving program LilyPond. An open-source progressive web app that uses Potrace is SVGcode. Potrace's input and output is black and white (colored images are greyscaled before processing). However, Inkscape is capable of producing color images by ...

  3. Wikipedia : Featured picture criteria/Image size

    en.wikipedia.org/wiki/Wikipedia:Featured_picture...

    The picture this screenshot is taken from is 1194 pixels wide and 1174 pixels tall. Image sizes on Wikipedia can be determined by doing the following: Go to the image page by clicking on the image thumbnail; Under the image there should be a set of numbers in the form "NNNNxMMMM." This is the size of the image in pixels.

  4. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.

  5. File:TheKuiperBelt classes-en.svg - Wikipedia

    en.wikipedia.org/wiki/File:TheKuiperBelt_classes...

    Image:TheKuiperBelt classes.PNG convert into SVG. Deutsch: Illustration der Hauptfamilien der Objekte des Kuipergürtels. Image:TheKuiperBelt classes.PNG umgewandelt in SVG.

  6. Image resolution - Wikipedia

    en.wikipedia.org/wiki/Image_resolution

    The image would be a very low quality image (72ppi) if printed at about 28.5 inches wide, but a very good quality (300ppi) image if printed at about 7 inches wide. The number of photodiodes in a color digital camera image sensor is often a multiple of the number of pixels in the image it produces, because information from an array of color ...

  7. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 compresses data in blocks between 100 and 900 kB and uses the Burrows–Wheeler transform to convert frequently recurring character sequences into strings of identical letters. The move-to-front transform and Huffman coding are then applied. The compression performance is asymmetric, with decompression being faster than compression.

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