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  2. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content. The different versions of the photo of the cat on ...

  3. Sumatra PDF - Wikipedia

    en.wikipedia.org/wiki/Sumatra_PDF

    The Sumatra PDF Viewer is a tiny open source portable reader that opens PDF's in the blink of an eye. Bloat and startup time is a major drawback to Adobe Reader, so we fled to the faster arms of Foxit Reader long ago. However, at 850KB, Sumatra is way slimmer than FoxIt. ^ Anders Ingeman Rasmussen (2008).

  4. File size - Wikipedia

    en.wikipedia.org/wiki/File_size

    File size is a measure of how much data a computer file contains or, alternately, how much storage it consumes. Typically, file size is expressed in units of measurement based on the byte . By convention, file size units use either a metric prefix (as in megabyte and gigabyte ) or a binary prefix (as in mebibyte and gibibyte ).

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Penis reduction - Wikipedia

    en.wikipedia.org/wiki/Penis_reduction

    Urology. [edit on Wikidata] Penis reduction or penis reduction surgery refers to efforts or an assortment of techniques intended to decrease the girth or length of the human penis, especially when erect. The motive behind such a procedure can range from complications such as macropenis, [1][2] genital lymphedema, [3] or sex reassignment. [4]

  7. 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.

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