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Image scaling. 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. When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric ...
For magnifying computer graphics with low resolution and few colors (usually from 2 to 256 colors), better results will be achieved by pixel art scaling algorithms such as hqx or xbr. These produce sharp edges and maintain high level of detail. Unfortunately due to the standardized size of 218x80 pixels, the "Wiki" image cannot use HQ4x or ...
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.
9-slice scaling (also known as Scale 9 grid, 9-slicing or 9-patch) is a 2D image resizing technique to proportionally scale an image by splitting it in a grid of nine parts. [1] The key idea is to prevent image scaling distortion by protecting the pixels defined in 4 parts (corners) of the image and scaling or repeating the pixels in the other ...
The underlying image's native dimensions are 3916×1980, and the coordinates are given in these dimensions rather than in the 300px resizing. As described in the image map documentation, regions can be specified as circles, rectangles, and arbitrary polygons, and the blue "i" icon can be moved or suppressed.
The image that you see on the right would be over 500 pixels wide if it were simply to be uploaded. There are several things that can be done about a very large image. If it is a scanned image, it can be rescanned at a lower resolution. If however the image is digital it must be either resized or cropped. Resizing. Select Image then Resize. You ...
Purpose of autosizing. Because many users have begun viewing Wikipedia articles on various smaller devices, not just desktop PC computers, the autosizing of images will allow each user to view those images as smaller pictures on handheld devices, such as laptops, notebook or tablet computers, and some mobile phones.
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.