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  2. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest ...

  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. Wikipedia:Non-free content/Image size calculator - Wikipedia

    en.wikipedia.org/.../Image_size_calculator

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  5. Wikipedia:Extended image syntax - Wikipedia

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

    Preserve the original image size, and put a box around the image. Show any caption below the image. Float the image on the right unless overridden with the location attribute. Note: Any size options specified will be ignored and flagged as a 'bogus file option' by the Linter. frameless Automatically scale the image up or down.

  6. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

  7. MNIST database - Wikipedia

    en.wikipedia.org/wiki/MNIST_database

    The original dataset from MNIST contained 128x128 binary images. Each was size-normalized to fit in a 20x20 pixel box while preserving their aspect ratio, and anti-aliased to grayscale. Then it was put into a 28x28 image by translating it until the center of mass of the pixels is in the center of the image.

  8. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.

  9. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The Image Size dialog can be used as an image calculator of sorts. For example, a 1600 × 1200 image with a resolution of 200 ppi will produce a printed image of 8 × 6 inches. The same image with 400 ppi will produce a printed image of 4 × 3 inches. Change the resolution to 800 ppi, and the same image now prints out at 2 × 1.5 inches.

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