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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 ...
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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.
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.
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 crop an image so as to focus on a particular portion of it, or alternatively, expand the white area around an image for better placement of wikitext.
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 ...
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.