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  2. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Lossy compression. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.

  3. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    JPEG ( / ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [ 2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.

  4. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Lossless compression. Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only ...

  5. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    The best image quality at a given compression rate (or bit rate) is the main goal of image compression, however, there are other important properties of image compression schemes: Scalability generally refers to a quality reduction achieved by manipulation of the bitstream or file (without decompression and re-compression).

  6. Lossless JPEG - Wikipedia

    en.wikipedia.org/wiki/Lossless_JPEG

    Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...

  7. WebP - Wikipedia

    en.wikipedia.org/wiki/WebP

    Like VP8 on which it is based, former lossy WebP supports only 8-bit YUV 4:2:0 format, [102] which may cause color loss on images with thin contrast elements (such as in pixel art and computer graphics) and ghosting in anaglyph. To overcome this restriction, new lossless WebP supports VP8L encoding that works exclusively with 8-bit RGBA (red ...

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