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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.
upright=0.8 – scales the image to approximately 80% of the user's default size (20% smaller) upright=1.2 – scales the image to approximately 120% of the user's default size (20% larger) left – shifts the image to the left margin; right – shifts the image to the right margin; center – shifts the image to center between left/right margins
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.
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. Other files (tif, pdf, plus sound and video files) will be located in Category:Wikipedia non-free file size reduction requests for manual processing and svg in Category:Wikipedia non-free SVG file size ...
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.
Scale the image to be no greater than the given width or height, keeping its aspect ratio. Scaling up (i.e. stretching the image to a greater size) is disabled when the image is framed. Link Link the image to a different resource, or to nothing. Alt Specify the alt text for the image. This is intended for visually impaired readers.