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2. LuraTech - Wikipedia

   en.wikipedia.org/wiki/Luratech

   LuraTech has also taken part in the development of the JPEG 2000 standard. [2] [3] In 2002 LuraTech created the PDF Compressor, applying the concepts of MRC layered document compression to PDF standards, especially PDF/A. This was the first workflow solution that LuraTech built on top of its software development kits.

3. 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 ...

4. Wikipedia : Featured picture criteria/Image size

   en.wikipedia.org/wiki/Wikipedia:Featured_picture...

   Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

5. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   This is an accepted version of this page This is the latest accepted revision, reviewed on 13 December 2024. Lossy compression method for reducing the size of digital images For other uses, see JPEG (disambiguation). "JPG" and "Jpg" redirect here. For other uses, see JPG (disambiguation). JPEG A photo of a European wildcat with the compression rate, and associated losses, decreasing from left ...

6. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   The most widely used lossy compression algorithm is the discrete cosine transform (DCT), first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974. Lossy compression is most commonly used to compress multimedia data (audio, video, and images), especially in applications such as streaming media and internet telephony. By contrast ...

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 ...