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  2. Wikipedia:Autosizing images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Autosizing_images

    Within an image link, the options are as follows: thumb – displays the image as a framed thumbnail at the user's default size; frameless – displays the image as an unframed at the user's default size; upright – scales the image to approximately 75% of the user's default size (25% smaller)

  3. Comparison gallery of image scaling algorithms - Wikipedia

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

    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-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

  4. 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.

  5. How to Downsize to Under 100 Things - AOL

    www.aol.com/2010-08-20-how-to-downsize-to-under...

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  6. Wikipedia:Extended image syntax - Wikipedia

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

    When a smaller size is specified the original full sized animated GIF image is served. Whether the animated GIF image is subsequently scaled to fit the allotted space belongs to the capabilities of the receiving browser. Resizing an animated GIF image will significantly reduce its quality, without any reduction of download time.

  7. Seam carving - Wikipedia

    en.wikipedia.org/wiki/Seam_carving

    Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.

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