16 bits per component as integers, fixed-point numbers, or half-precision floating-point numbers packed into 48 or 64 bits.10 bits per component in a 32 bit packed representation (one of several higher-precision varieties of color representation known as deep color).8 bits per component (sometimes called true color) packed into 24 or 32 bits per pixel.Low bit-depth packings of RGB into 16 bits per pixel using 5 bits for each channel or 5 bits for red and blue and 6 bits for green. ![]() These can be used with and without an accompanying alpha channel for shape masking and semi-transparency support, and some of them have much higher precision than what has typically been used for image coding. For support of images using an RGB color space, JPEG XR includes an internal conversion to the YCoCg color space, and supports a variety of bit depth and color representation packing schemes. Support for more color accuracy JPEG XR supports a wide variety of image color representations in addition to the conventional 8-bit-per-sample YUV (formally YCbCr) 4:2:0 encoding that is typically used for the original JPEG standard. When a type of tiling referred to as "soft tiling" is used, the tile region structuring can be changed without fully decoding the image and without introducing additional distortion. This enables rapid access to parts of an image without needing to decode the entire image. The data for each region can be decoded separately. Tile structure support A JPEG XR coded image can be segmented into tile regions. This makes the lossless mode simple to support and enables the "trimming" of some bits from a lossless compressed image to produce a lossy compressed image. The signal processing steps in JPEG XR are the same for both lossless and lossy coding. Lossless compression JPEG XR also supports lossless compression. JPEG XR is an image file format that offers several key improvements over JPEG, including: Better compression JPEG XR file format supports higher compression ratios in comparison to JPEG for encoding an image with equivalent quality. In 2011, they published a technical report describing the workflow architecture for the use of JPEG XR images in applications (ITU-T T.Sup2 | ISO/IEC TR 29199-1).ĭescription Capabilities ![]() In 2010, after completion of the image coding specification, the ITU-T and ISO/IEC also published a motion format specification (ITU-T T.833 | ISO/IEC 29199-3), a conformance test set (ITU-T T.834 | ISO/IEC 29199-4), and reference software (ITU-T T.835 | ISO/IEC 29199-5) for JPEG XR. The ITU-T updated its publication with a corrigendum approved in December 2009, and ISO/IEC issued a new edition with similar corrections on 30 September 2010. On 19 June 2009, it passed an ISO/IEC Final Draft International Standard (FDIS) ballot, resulting in final approval as International Standard ISO/IEC 29199-2. On 16 March 2009, JPEG XR was given final approval as ITU-T Recommendation T.832 and starting in April 2009, it became available from the ITU-T in "pre-published" form. In July 2007, the Joint Photographic Experts Group and Microsoft announced HD Photo to be under consideration to become a JPEG standard known as JPEG XR. Microsoft first announced Windows Media Photo at WinHEC 2006, and then renamed it to HD Photo in November of that year. ![]() As of January 2021, there were still no cameras that shoot photos in the JPEG XR (.JXR) format. NET Framework 3.0, Windows Vista, Windows 7, Windows 8, Internet Explorer 9, Internet Explorer 10, Internet Explorer 11, Pale Moon 27.2. Support for the format was made available in Adobe Flash Player 11.0, Adobe AIR 3.0, Sumatra PDF 2.1, Windows Imaging Component. It supports both lossy and lossless compression, and is the preferred image format for Ecma-388 Open XML Paper Specification documents. JPEG XR ( JPEG extended range ) 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.
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