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  2. 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 ...

  3. Help : How to reduce colors for saving a JPEG as PNG

    en.wikipedia.org/wiki/Help:How_to_reduce_colors...

    Making an image that was incorrectly saved as JPEG fit for saving as PNG; Suppose you have a map for an island that was inadvertently saved as JPEG. Looks OK, if a bit fuzzy. 1. In your bitmap graphics editor, set your fuzzy selection ("magic wand") tool so that it only will select pixels of exactly the same color. (Here: Threshold = 0) 2.

  4. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    One of the simpler ways of increasing the size, replacing every pixel with a number of pixels of the same color. The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest ...

  5. 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 ...

  6. JPEG XL - Wikipedia

    en.wikipedia.org/wiki/JPEG_XL

    Versatile and future-proof size limits: JPEG XL supports ultra-high-resolution images (up to 1 terapixel) with dimensions of over a billion (2 30-1) pixels per side, [44] sample precision of up to 32 bits, e.g. for HDR content. up to 4099 channels/components: either one (grayscale), three , or four main channels.

  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.

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