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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. [1]
frameless – displays the image as an unframed at the user's default size; upright – scales the image to approximately 75% of the user's default size (25% smaller) 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 ...
This can be avoided by only producing lossy files from (lossless) originals and only editing (copies of) original files, such as images in raw image format instead of JPEG. If data which has been compressed lossily is decoded and compressed losslessly, the size of the result can be comparable with the size of the data before lossy compression ...
Some users have small screens or need to configure their systems to display large text; "forced" large thumbnails can leave little width for text, making reading difficult. In addition, forcing a "larger" image size at say 260px will actually make it smaller for those with a larger size set as preference.
An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed.
To make text flow around an image, place the image preceding the text and use the thumb parameter). In the following list, each option's explanation is preceded by what File:Flag of Hungary vertical.svg looks like when aligned using the listed option, using the markup of [[File:Flag of Hungary vertical.svg| option |frameless|upright=0.1|link ...
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JPEG XL codec can losslessly transcode a widely supported subset of JPEG files, by directly copying JPEG's DCT block coefficients to 8×8 VarDCT blocks, making smaller file sizes possible due to JPEG XL's superior entropy coding. This process is reversible and it allows for the original JPEG file to be reconstructed bit-for-bit, although ...