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  2. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

  3. File:EUDR 2005-78.pdf - Wikipedia

    en.wikipedia.org/wiki/File:EUDR_2005-78.pdf

    Original file (1,239 × 1,752 pixels, file size: 100 KB, MIME type: application/pdf, 2 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  4. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    The replacement for the .sit format that supports more compression methods, UNIX file permissions, long file names, very large files, more encryption options, data specific compressors (JPEG, Zip, PDF, 24-bit image, MP3). The free StuffIt Expander is available for Windows and OS X. .sqx SQX: Windows: Windows: Yes A royalty-free compressing format

  5. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    This characteristic sometimes results in a smaller file size for some lossless formats than lossy formats. For example, graphically simple images (i.e. images with large continuous regions like line art or animation sequences) may be losslessly compressed into a GIF or PNG format and result in a smaller file size than a lossy JPEG format.

  6. DjVu - Wikipedia

    en.wikipedia.org/wiki/DjVu

    DjVu has been promoted as providing smaller files than PDF for most scanned documents. [3] The DjVu developers report that color magazine pages compress to 40–70 kB, black-and-white technical papers compress to 15–40 kB, and ancient manuscripts compress to around 100 kB; a satisfactory JPEG image typically requires 500 kB. [4]

  7. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

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