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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.
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 ...
There is no need to resize images by hand. DatBot goes through daily and resizes bitmap images (jpg, png) to (height*width)<100,000 pixels. Other files (tif, pdf, plus sound and video files) will be located in Category:Wikipedia non-free file size reduction requests for manual processing and svg in Category:Wikipedia non-free SVG file size ...
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 Once an oversized file has been replaced by a reduced version, it should be tagged with {{subst:orphaned non-free revisions}}.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}}
These techniques are used to reduce data size for storing, handling, and transmitting content. Higher degrees of approximation create coarser images as more details are removed. This is opposed to lossless data compression (reversible data compression) which does not degrade the data. The amount of data reduction possible using lossy ...
One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest ...