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2. 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.

3. JPEG File Interchange Format - Wikipedia

   en.wikipedia.org/wiki/JPEG_File_Interchange_Format

   Hamilton, Eric: JPEG File Interchange Format, Version 1.02 (PDF, 0.02 MB) 1 September 1992; Recommendation ITU-T T.871: Information technology – Digital compression and coding of continuous-tone still images: JPEG File Interchange Format (JFIF) (PDF and Microsoft Word, 0.2 MB) Approved 14 May 2011; posted 11 September 2012

4. File:Ilovepdf.svg - Wikipedia

   en.wikipedia.org/wiki/File:Ilovepdf.svg

   This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

5. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   Continuously varied JPEG compression (between Q=100 and Q=1) for an abdominal CT scan. JPEG (/ ˈ dʒ eɪ p ɛ ɡ / JAY-peg, short for Joint Photographic Experts Group and sometimes retroactively referred to as JPEG 1) [2] [3] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography.

6. PDF - Wikipedia

   en.wikipedia.org/wiki/PDF

   Linearized PDF files (also called "optimized" or "web optimized" PDF files) are constructed in a manner that enables them to be read in a Web browser plugin without waiting for the entire file to download, since all objects required for the first page to display are optimally organized at the start of the file. [27]

7. Lossy compression - Wikipedia

   en.wikipedia.org/wiki/Lossy_compression

   While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...