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  2. Free Lossless Image Format - Wikipedia

    en.wikipedia.org/wiki/Free_Lossless_Image_Format

    Website. flif.info. Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [4]

  3. Lossless JPEG - Wikipedia

    en.wikipedia.org/wiki/Lossless_JPEG

    Lossless JPEG. Lossless JPEG is a 1993 addition to JPEG standard by the Joint Photographic Experts Group to enable lossless compression. However, the term may also be used to refer to all lossless compression schemes developed by the group, including JPEG 2000, JPEG-LS, and JPEG XL. Lossless JPEG was developed as a late addition to JPEG in 1993 ...

  4. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    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.

  5. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Image conversion. A large number of image file formats are available for storing graphical data, and, consequently, there are a number of issues associated with converting from one image format to another, most notably loss of image detail.

  6. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Composite image showing JPG and PNG image compression. Left side of the image is from a low-quality JPEG image, showing lossy artefacts; the right side is from a PNG image. In information technology , lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data ...

  7. 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 ...

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