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  2. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.

  3. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    based on PDF, uses the same syntax and has essentially the same file structure, but is much simpler than PDF since the body of an FDF document consists of only one required object. Forms Data Format is defined in the PDF specification (since PDF 1.2).

  4. 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. [5] The initial version of the site featured a standalone PDF compression tool. [6] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [7]

  5. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    This is the same as considering absolute entropy (corresponding to data compression) as a special case of relative entropy (corresponding to data differencing) with no initial data. The term differential compression is used to emphasize the data differencing connection.

  6. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Left side of the image is from a low-quality JPEG image, showing lossy artefacts; the right side is from a PNG image. 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 ...

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...

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