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  2. Wikipedia:Non-free content/Image size calculator - Wikipedia

    en.wikipedia.org/.../Image_size_calculator

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate

  3. Wikipedia : Featured picture criteria/Image size

    en.wikipedia.org/.../Image_size

    Image sizes on Wikipedia can be determined by doing the following: Go to the image page by clicking on the image thumbnail. Under the image there should be a set of numbers in the form "NNNNxMMMM." This is the size of the image in pixels. If these numbers do not appear, then the image is smaller than the limit you specified for display in the ...

  4. Help:Pictures - Wikipedia

    en.wikipedia.org/wiki/Help:Pictures

    You can set a different default width for yourself in My preferences under "Appearance » Files". The options are 120px, 150px, 180px, 200px, 220px, 250px, 300px, and 400px. Any image narrower than the preferred width is displayed at its actual, narrower width, without being stretched to fill the preferred width.

  5. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    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 ...

  6. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    JPEG. JPEG (/ ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.

  7. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Lossless compression. Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only ...