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  2. Guetzli - Wikipedia

    en.wikipedia.org/wiki/Guetzli

    Guetzli supports only the top of JPEG's quality range (quantizer settings 84–100) [7] [8] and supports only sequential (non-"progressive") encoding. Guetzli is more effective with bigger files. [8] Google says it is a demonstration of the potential of psychovisual optimizations, intended to motivate further research into future JPEG encoders. [2]

  3. zstd - Wikipedia

    en.wikipedia.org/wiki/Zstd

    It is also one of many supported compression algorithms in the .RVZ Wii and GameCube disc image file format. On 15 June 2020, Zstandard was implemented in version 6.3.8 of the zip file format with codec number 93, deprecating the previous codec number of 20 as it was implemented in version 6.3.7, released on 1 June.

  4. 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.

  5. CCSDS 122.0-B-1 - Wikipedia

    en.wikipedia.org/wiki/CCSDS_122.0-B-1

    CCSDS 122.0 is a CCSDS lossless to lossy image compression standard originally released in November 2005. The encoder consists of two parts—a discrete wavelet transform transform coder followed by a bitplane encoder on the similar lines as Embedded Zerotree Wavelet by Shapiro.

  6. Category:Image compression - Wikipedia

    en.wikipedia.org/wiki/Category:Image_compression

    This category includes articles, which includes information on image compression methods and algorithms. For information on graphics file formats see Category:Graphics file formats . Subcategories

  7. JBIG2 - Wikipedia

    en.wikipedia.org/wiki/JBIG2

    JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group.It is suitable for both lossless and lossy compression. . According to a press release [1] from the Group, in its lossless mode JBIG2 typically generates files 3–5 times smaller than Fax Group 4 and 2–4 times smaller than JBIG, the previous bi-level compression standard released by

  8. JPEG compression - Wikipedia

    en.wikipedia.org/wiki/JPEG

    This is an accepted version of this page This is the latest accepted revision, reviewed on 31 December 2024. Lossy compression method for reducing the size of digital images For other uses, see JPEG (disambiguation). "JPG" and "Jpg" redirect here. For other uses, see JPG (disambiguation). JPEG A photo of a European wildcat with the compression rate, and associated losses, decreasing from left ...

  9. 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 ...