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  2. Wikipedia:Extended image syntax - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Extended_image...

    Brief syntax. In brief, the syntax for displaying an image is: [[File: Name | Type | Border | Location | Alignment | Size |link= Link |alt= Alt |page= Page |lang= Langtag | Caption ]]. Plain type means you always type exactly what you see. Bold italics represent a variable, which you replace with its actual value.

  3. Help:Pictures - Wikipedia

    en.wikipedia.org/wiki/Help:Pictures

    When the link is clicked the image is displayed with other text information at a reasonable size. The user can click through the resulting medium-sized image to get to the full size highest resolution image. You can also send the user directly to the image: [[Media:Wikipedesketch.png]] Media:Wikipedesketch.png. This says Media: instead of File ...

  4. Cases where fixed sizes may be used include for standardization of size via templates (such as within infobox templates or the display of country flag icons), for displaying reduced images sizes where space is constrained (such as images used in the In the News and Did You Know sections on the WP:Main Page, or within larger tables such as List ...

  5. Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality.

  6. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Lossy compression. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.

  7. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.