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This template should be added to the oversized file. Files tagged with this template are placed in the Category:Wikipedia non-free file size reduction requests. Once an oversized file has been replaced by a reduced version, it should be tagged with {{subst:orphaned non-free revisions}}. For non-free audio-file, add {{Non-free reduce|type=audio}}
To add a file to this category, add {{Non-free reduce}} to the file's description page. If you have fulfilled a request, please replace the tag with {{Non-free reduced|~~~~~}}. This tool can help fix these files. And this tool can help you calculate suitable non-free image dimensions. There is no need to resize images by hand.
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.
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 ...
This template should be added to the oversized file when manual reduction is requested. Files tagged with this template are placed in the Category:Wikipedia non-free file size reduction requests for manual processing.
If the new version is too sharp, you can utilize the blur filter or tool to fix this, or use Colors > Levels to mess with the Alpha channel. Once it looks correct, save the image as a PNG. Then, to reduce file size, run it through a program like ImageMagick that supports 8-bit PNGs with alpha transparency, in order to remove any unnecessary ...
Make web pages easy to read for you! With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller. In an instant, these commands improve the readability of the content you're viewing.
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.