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  2. Display Stream Compression - Wikipedia

    en.wikipedia.org/wiki/Display_Stream_Compression

    DSC version 1.0 was released on 10 March 2014, but was soon deprecated by DSC version 1.1 released on 1 August 2014. The DSC standard supports up to a 3∶1 compression ratio (reducing the data stream to 8 bits per pixel) with constant or variable bit rate, RGB or Y′C B C R 4:4:4 , 4:2:2, or 4:2:0 color format, and color depth of 6, 8, 10, or ...

  3. JPEG XS - Wikipedia

    en.wikipedia.org/wiki/JPEG_XS

    Component up-scaling and optional component decorrelation: In the first step, the DC gain of the input data is removed and it is upscaled to a bit-precision of 20 bits. Optionally, a multi-component generation, identical to the JPEG 2000 RCT, is applied.

  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. Weissman score - Wikipedia

    en.wikipedia.org/wiki/Weissman_score

    The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a data compression algorithm.

  6. Lagarith - Wikipedia

    en.wikipedia.org/wiki/Lagarith

    Lagarith is an open source lossless video codec written by Ben Greenwood. [1] It is a fork of the code of HuffYUV and offers better compression at the cost of greatly reduced speed on uniprocessor systems.

  7. Comparison gallery of image scaling algorithms - Wikipedia

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

    Simple Fourier based interpolation based on padding of the frequency domain with zero components (a smooth-window-based approach would reduce the ringing).Beside the good conservation of details, notable is the ringing and the circular bleeding of content from the left border to right border (and way around).

  8. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...

  9. Resolution independence - Wikipedia

    en.wikipedia.org/wiki/Resolution_independence

    In addition, Windows 10 version 1703 brings back the XP-style GDI scaling under a "System (Enhanced)" option. This option combines GDI+'s text rendering at a higher resolution with the usual scaling of other elements, so that text appears crisper than in the normal "System" virtualization mode.