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

    en.wikipedia.org/.../Image_size_calculator

    Wikipedia:Non-free content § Image resolution; Image Resize Calculator; Template:Calculator This page was last edited on 14 September 2024, at 10:10 (UTC). Text ...

  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. Category : Wikipedia non-free file size reduction requests

    en.wikipedia.org/wiki/Category:Wikipedia_non...

    And this tool can help you calculate suitable non-free image dimensions. There is no need to resize images by hand. DatBot goes through daily and resizes bitmap images (jpg, png) to (height*width)<100,000 pixels.

  6. 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.

  7. Pixel-art scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

    EEDI2 resizes an image by 2× in the vertical direction by copying the existing image to 2⋅y(n) and interpolating the missing field. It is intended for edge-directed interpolation for deinterlacing (i.e. not made for resizing a normal image, but can do that as well).

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