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  2. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    The idea came from the need for their families to compress and send large documents via email. [4] The initial version of the site featured a standalone PDF compression tool. [5] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [6]

  3. 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.

  4. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    A PDF file is often a combination of vector graphics, text, and bitmap graphics. The basic types of content in a PDF are: Typeset text stored as content streams (i.e., not encoded in plain text ); Vector graphics for illustrations and designs that consist of shapes and lines;

  5. Deflate - Wikipedia

    en.wikipedia.org/wiki/DEFLATE

    Deflate. (Redirected from DEFLATE) In computing, Deflate (stylized as DEFLATE, and also called Flate[ 1][ 2]) is a lossless data compression file format that uses a combination of LZ77 and Huffman coding. It was designed by Phil Katz, for version 2 of his PKZIP archiving tool. Deflate was later specified in RFC 1951 (1996).

  6. LuraTech - Wikipedia

    en.wikipedia.org/wiki/Luratech

    LuraTech was founded as a part of a joint project with Technische Universität Berlin intended to bring wavelet compression techniques to digital still images. LuraTech developed a segmentation technology to deal with scanned documents containing mixed raster content (MRC), resulting in the creation of LuraDocument LDF , a proprietary document ...

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Data compression ratio is defined as the ratio between the uncompressed size and compressed size: = 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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