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  2. Guetzli - Wikipedia

    en.wikipedia.org/wiki/Guetzli

    Guetzli optimizes the quantization step of encoding to achieve compression efficiency. It constructs custom quantization tables for each file, decides on color subsampling, [4] and quantizes adjacent DCT coefficients to zero, balancing benefits in the run-length encoding of coefficients and preservation of perceived image fidelity.

  3. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    Thus, there are a very large number of different combinations for how the image can be compressed. Which combination gives the best compression will depend on the individual image's properties. [3] pngcrush compresses the image with multiple different combinations and then stores the smallest of the resulting files. [4]

  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. 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

  6. Quantization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Quantization_(image...

    Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible.

  7. QOI (image format) - Wikipedia

    en.wikipedia.org/wiki/QOI_(image_format)

    The Quite OK Image Format (QOI) is a specification for lossless image compression of 24-bit (8 bits per color RGB) or 32-bit (8 bits per color with 8-bit alpha channel RGBA) color raster (bitmapped) images, invented by Dominic Szablewski and first announced on 24 November 2021.

  8. 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: ...

  9. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Composite image showing JPG and PNG image compression. Left side of the image is from a low-quality JPEG image, showing lossy artefacts; the right side is from a PNG image. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data ...