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  2. JPEG XR - Wikipedia

    en.wikipedia.org/wiki/JPEG_XR

    JPEG XR [4] (JPEG extended range [5]) is an image compression standard for continuous tone photographic images, based on the HD Photo (formerly Windows Media Photo) specifications that Microsoft originally developed and patented. [6]

  3. JPEG XS - Wikipedia

    en.wikipedia.org/wiki/JPEG_XS

    Internet Protocol Media Experience is a suite of open standards and specifications to enable the carriage of compressed and uncompressed video, audio, and data over IP networks for the pro AV market. JPEG XS is supported under IPMX via VSF TR-10-8 [23] and TR-10-11. [24]

  4. 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 ...

  5. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    The size of raster image files is positively correlated with the number of pixels in the image and the color depth (bits per pixel). Images can be compressed in various ways, however. A compression algorithm stores either an exact representation or an approximation of the original image in a smaller number of bytes that can be expanded back to ...

  6. 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. [1]

  7. 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.

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