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2. Wikipedia : Featured picture criteria/Image size

   en.wikipedia.org/.../Image_size

   Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

3. Image compression - Wikipedia

   en.wikipedia.org/wiki/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 digital data.

4. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   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.

5. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   Basic information theory says that there is an absolute limit in reducing the size of this data. When data is compressed, its entropy increases, and it cannot increase indefinitely. For example, a compressed ZIP file is smaller than its original, but repeatedly compressing the same file will not reduce the size to nothing. Most compression ...

6. Enlarge or reduce the font size on your web browser - AOL Help

   help.aol.com/articles/how-do-i-enlarge-or-reduce...

   Enlarge or reduce the font size on your web browser Make web pages easy to read for you! With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller.

7. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...