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Don't try to save disk space on the images server by giving up useful information. Keep the source: If the image was generated from data (e.g. a graph in Microsoft Excel), the data and file (e.g. spreadsheet) should be included so new data can be added to the graph, and/or the source of the data should be cited.
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. If the header cell is also empty for that row all the cells show up, but they are narrow. That can be fixed with a simple <br> in one of the cells. That is what is done here:
There are basically two type of pictures (images, files, pics, etc.) that are used here on Wikipedia: Free images; Non-free images; A free image is an image that can be freely used anywhere on Wikipedia. A free image may be either public domain, or released under a free license, such as CC-BY-SA. Free images can be used in any article where ...
For data requests that fall between the table's samples, an interpolation algorithm can generate reasonable approximations by averaging nearby samples." [8] In data analysis applications, such as image processing, a lookup table (LUT) can be used to transform the input data into a more desirable output format. For example, a grayscale picture ...
A spreadsheet consists of a table of cells arranged into rows and columns and referred to by the X and Y locations. X locations, the columns, are normally represented by letters, "A," "B," "C," etc., while rows are normally represented by numbers, 1, 2, 3, etc. A single cell can be referred to by addressing its row and column, "C10".
Show images within an article. Access 3.7+ million images using the offline image databases. Works with any Wikimedia wiki, including Wikipedia, Wiktionary, Wikisource, Wikiquote, Wikivoyage (also some non-wmf dumps) Works with any non-English language wiki such as French Wikipedia, German Wikisource, Dutch Wikivoyage, etc.
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Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face .