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  2. 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 ...

  3. JPEG XL - Wikipedia

    en.wikipedia.org/wiki/JPEG_XL

    JPEG XL codec can losslessly transcode a widely supported subset of JPEG files, by directly copying JPEG's DCT block coefficients to 8×8 VarDCT blocks, making smaller file sizes possible due to JPEG XL's superior entropy coding. This process is reversible and it allows for the original JPEG file to be reconstructed bit-for-bit, although ...

  4. Wikipedia:Preparing images for upload - Wikipedia

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

    Existing JPEG files can be compressed a bit more, with no additional loss in quality, using jpegtran -optimize. This results in a smaller file, but the compression is slower. Jpegtran is part of libjpeg. A package called littleutils contains a script called opt-jpg that automates JPEG optimization, using jpegtran as the underlying engine.

  5. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    JPEG was introduced by the Joint Photographic Experts Group (JPEG) in 1992. [12] JPEG compresses images down to much smaller file sizes, and has become the most widely used image file format. [13] JPEG was largely responsible for the wide proliferation of digital images and digital photos, [14] with several billion JPEG images produced every ...

  6. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.

  7. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.