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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. Wikipedia : Featured picture criteria/Image size

    en.wikipedia.org/.../Image_size

    Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

  4. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    The JPEG filename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a significant reduction of the file size.

  5. 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.

  6. Comparison of graphics file formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_graphics...

    Format Compression algorithm Raster/ vector Maximum Color depth. Indexed color Trans-parency. Meta-data. Inter-lacing. Multi-page Anima-tion Layers Color manage-ment

  7. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Data compression ratio, also known as compression power, is a measurement of the relative reduction in size of data representation produced by a data compression algorithm. It is typically expressed as the division of uncompressed size by compressed size.

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