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2. Template:Multiple image - Wikipedia

   en.wikipedia.org/wiki/Template:Multiple_image

   (2) The full width of the original [n]th image if total_width is given in order to resize all images to the same height and a given total width. height[n] (as above) The full height of the original [n]th image if total_width is given in order to resize all images to the same height and a given total width. Ignored otherwise.

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. 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".

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).