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  2. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    By operation of the pigeonhole principle, no lossless compression algorithm can shrink the size of all possible data: Some data will get longer by at least one symbol or bit. Compression algorithms are usually effective for human- and machine-readable documents and cannot shrink the size of random data that contain no redundancy. Different ...

  3. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes: C o m p r e s s i o n R a t i o = U n c o m p r e s s e d D a t a R a t e C o m p r e s s e d D a t a R a t e {\displaystyle {\rm {Compression\;Ratio}}={\frac {\rm ...

  4. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    An important image compression technique is the discrete cosine transform (DCT), a technique developed in the early 1970s. [16] DCT is the basis for JPEG, a lossy compression format which was introduced by the Joint Photographic Experts Group (JPEG) in 1992. [35]

  5. Smallpdf.com - Wikipedia

    en.wikipedia.org/wiki/Smallpdf.com

    Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [3] And its paid version offers advanced features like OCR, compress, and more [4].

  6. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    PDF has (as of version 2.0) 25 graphics state properties, of which some of the most important are: The current transformation matrix (CTM), which determines the coordinate system; The clipping path; The color space; The alpha constant, which is a key component of transparency; Black point compensation control (introduced in PDF 2.0)

  7. Run-length encoding - Wikipedia

    en.wikipedia.org/wiki/Run-length_encoding

    Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...

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