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For example, {{yes}} makes a cell with a green background. The text in the cell is taken from the first parameter; {{yes | Sure}} would output "Sure" otherwise it defaults to "Yes". Most templates allow authors to override the default text in this way, some require text put after the template call and some also need a vertical bar in between ...
Download as PDF; Printable version; ... center; vertical-align:bottom; width:210px; background:#f0f0f0; border:0 ... The template puts an image in the element cell ...
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.
For example, the background colors of cells can be changed with cell parameters, making the table into a diagram, like meta:Template talk:Square 8x8 pentomino example. An "image" in the form of a table is much more convenient to edit than an uploaded image. If all the cells in a row are empty the cells still show up.
In some cases, it may be desirable to add clickable annotations to an image. The templates Template:Annotated image and Template:Annotated image 4 exist for this purpose. These templates allow wikitext (e.g., regular text, wikilinks, allowed HTML code, references, and other templates) to be included on the image itself. They may also be used to ...
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.
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.