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Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.
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.
Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
Specifying a size does not just change the apparent image size using HTML; it actually generates a resized version of the image on the fly and links to it appropriately. This happens whether or not you specify the size in conjunction with "thumb". This means the server does all the work of changing the image size, not the web browser of the user.
The font size that appears in a thumbnail is a combination of svg width, thumbnail width, and font size. To match wikipedia font size as a thumbnail, use font-size = (63/(your upright value))*((your svg width)/1000). For instance, if the thumbnail will be scaled up to thumb upright=1.35 and your image has svg width of 960, set font-size in the ...
You then get to choose the size of the image you want. Take care when resizing. The only way to make an image smaller is to throw away some of the pixels. If the image contains text, the pixels that get thrown away are not necessarily the ones that a human being would choose. If the top few pixels of the letter d are lost it becomes an a.
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