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2. zstd - Wikipedia

   en.wikipedia.org/wiki/Zstd

   Data compression. License. BSD-3-Clause or GPL-2.0-or-later (dual-licensed) Website. facebook.github.io /zstd /. Zstandard is a lossless data compression algorithm developed by Yann Collet at Facebook. Zstd is the corresponding reference implementation in C, released as open-source software on 31 August 2016. [3][4]

3. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Definition. Data compression ratio is defined as the ratio between the uncompressed size and compressed size: [1][2][3][4][5] Thus, a representation that compresses a file's storage size from 10 MB to 2 MB has a compression ratio of 10/2 = 5, often notated as an explicit ratio, 5:1 (read "five" to "one"), or as an implicit ratio, 5/1.

4. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   JPEG (/ ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.

5. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression. In information theory, data compression, source coding, [1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.

6. 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.

7. Compression set - Wikipedia

   en.wikipedia.org/wiki/Compression_set

   Compression set A is defined as the percentage of original specimen thickness after the specimen has been left in normal (uncompressed) conditions for 30 minutes. C A, the compression set A is given by C A = [(t o - t i) / t o] * 100 where t o is the original specimen thickness and t i is the specimen thickness after testing. [2]