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  2. 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].

  3. Mixed raster content - Wikipedia

    en.wikipedia.org/wiki/Mixed_raster_content

    MRC-compressed images are typically packaged into a hybrid file format such as DjVu and sometimes PDF. [2] This allows for multiple images, and the instructions to properly render and reassemble them, to be stored within a single file. Some image scanners optionally support MRC when scanning to PDF. A typical manual states that without MRC, the ...

  4. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    The dictionary describes the properties of the image, and the stream contains the image data. (Less commonly, small raster images may be embedded directly in a page description as an inline image.) Images are typically filtered for compression purposes. Image filters supported in PDF include the following general-purpose filters:

  5. DjVu - Wikipedia

    en.wikipedia.org/wiki/DjVu

    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] Like PDF, DjVu can contain an OCR text layer, making it easy to perform copy and paste and text search ...

  6. Wikipedia : Graphics Lab/Resources/PDF conversion to SVG

    en.wikipedia.org/.../Resources/PDF_conversion_to_SVG

    Now here is some info on how to convert PDF image to SVG images. This page covers conversion using free tools. To convert using Adobe Illustrator go to the following two pages: Wikipedia:Graphic Lab/Resources/PDF conversion to SVG/Adobe Illustrator; Wikipedia:Graphic Lab/Images to improve/Archive/Jul 2008#Image:APISmap1.pdf

  7. JBIG2 - Wikipedia

    en.wikipedia.org/wiki/JBIG2

    JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group.It is suitable for both lossless and lossy compression. . According to a press release [1] from the Group, in its lossless mode JBIG2 typically generates files 3–5 times smaller than Fax Group 4 and 2–4 times smaller than JBIG, the previous bi-level compression standard released by

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