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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. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    The High Efficiency Image File Format (HEIF) is an image container format that was standardized by MPEG on the basis of the ISO base media file format. While HEIF can be used with any image compression format, the HEIF standard specifies the storage of HEVC intra-coded images and HEVC-coded image sequences taking advantage of inter-picture ...

  4. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    The best image quality at a given compression rate (or bit rate) is the main goal of image compression, however, there are other important properties of image compression schemes: Scalability generally refers to a quality reduction achieved by manipulation of the bitstream or file (without decompression and re-compression).

  5. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    RAW is not a standardized format, in fact, RAW-formats even differ between camera models from the same vendor [citation needed]. Data in a RAW-file is structured according to the Bayer filter's pattern in cameras that use a single image sensor. Debayering, the process of obtaining bitmap data from a RAW-image is always a lossy operation.

  6. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    JPEG XL (ISO/IEC 18181) was published in 2021–2022. It replaces the JPEG format with a new DCT-based royalty-free format and allows efficient transcoding as a storage option for traditional JPEG images. [80] The new format is designed to exceed the still image compression performance shown by HEIF HM, Daala and WebP.

  7. libjpeg - Wikipedia

    en.wikipedia.org/wiki/Libjpeg

    optimisation of the Huffman coding layer of a JPEG file to increase compression, conversion between progressive and sequential JPEG formats, conversion between Huffman and arithmetic coding in the entropy coding layer. [5] [6] [7] These transformations are each completely lossless and reversible. The transformations on the image data comprise:

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