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2. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression. Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only ...

3. 7-Zip - Wikipedia

   en.wikipedia.org/wiki/7-Zip

   7-zip.org. 7-Zip is a free and open-source file archiver, a utility used to place groups of files within compressed containers known as "archives". It is developed by Igor Pavlov and was first released in 1999. [2] 7-Zip has its own archive format called 7z, but can read and write several others.

4. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   This means that compressed archives with the UC2 file extension can hold almost 1 million files. .uca PerfectCompress [17] Windows: Windows: No Based on PAQ, RZM, CSC, CCM, and 7zip. The format consists of a PAQ, RZM, CSC, or CCM compressed file and a manifest with compression settings stored in a 7z archive. .uha UHarc DOS/Windows: DOS/Windows ...

5. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   For example, in that model, a zip file's compressed size includes both the zip file and the unzipping software, since you can not unzip it without both, but there may be an even smaller combined form. Examples of AI-powered audio/video compression software include NVIDIA Maxine, AIVC. [23]

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   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. • Zoom in - Press Ctrl (CMD on a Mac) + the plus key (+) on your keyboard. • Zoom out - Press Ctrl (CMD on a Mac) + the minus key (-) on your keyboard.

7. 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 ...