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  2. Vector graphics - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics

    This minimal amount of information translates to a much smaller [13] file size compared to large raster images which are defined pixel by pixel. This said, a vector graphic with a small file size is often said to lack detail compared with a real-world photo. Correspondingly, one can infinitely zoom in on e.g., a circle arc, and it remains smooth.

  3. Wikipedia:Autosizing images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Autosizing_images

    The available values for thumbnail size in Preferences (on the Appearance tab) are 120px, 150px, 180px, 200px, 220px (default), 250px, 300px, and 400px. As explained at Wikipedia:Extended image syntax § Size, upright=Factor will "adjust a thumbnail's size to Factor times the default thumbnail size, rounding the result to the nearest multiple of 10".

  4. Run-length encoding - Wikipedia

    en.wikipedia.org/wiki/Run-length_encoding

    For files that do not have many runs, encoding them with RLE could increase the file size. RLE may also refer in particular to an early graphics file format supported by CompuServe for compressing black and white images, that was widely supplanted by their later Graphics Interchange Format (GIF).

  5. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    These artifacts can be reduced by choosing a lower level of compression; they may be completely avoided by saving an image using a lossless file format, though this will result in a larger file size. The images created with ray-tracing programs have noticeable blocky shapes on the terrain. Certain low-intensity compression artifacts might be ...

  6. OpenEXR - Wikipedia

    en.wikipedia.org/wiki/OpenEXR

    OpenEXR 2.0 was released in April 2013, extending the format with support for deep image buffers and multiple images embedded in a single file. [ 8 ] [ 9 ] [ 10 ] Version 2.2, released August 2014, added the lossy DWA compression format.

  7. Dither - Wikipedia

    en.wikipedia.org/wiki/Dither

    The 256 available colors would be used to generate a dithered approximation of the original image. Without dithering, the colors in the original image would be quantized to the closest available color, resulting in a displayed image that is a poor representation of the original. The very earliest uses were to reduce images to 1-bit black and white.

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