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  2. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    Lossy PNG compression. Although PNG is a lossless format, PNG encoders can preprocess image data in a lossy fashion to improve PNG compression. For example, quantizing a truecolor PNG to 256 colors allows the indexed color type to be used for a likely reduction in file size. Image editing software

  3. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    pngcrush is a free and open-source command-line utility for optimizing PNG image files. It reduces the size of the file losslessly – that is, the resulting "crushed" image will have the same quality as the source image. The main purpose of pngcrush is to reduce the size of the PNG IDAT data stream by trying various combinations of compression ...

  4. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Image file format. An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed. If the data is compressed, it may be done so using lossy ...

  5. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    High-compression (low quality) JPEG. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.

  6. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [1] By contrast, lossy compression permits reconstruction only of an approximation of ...

  7. Lempel–Ziv–Welch - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Welch

    Lempel–Ziv–Welch. Lempel–Ziv–Welch ( LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 as an improved implementation of the LZ78 algorithm published by Lempel and Ziv in 1978. The algorithm is simple to implement and has the potential for very ...

  8. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    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 ...

  9. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 [1] and 1978. [2] They are also known as LZ1 and LZ2 respectively. [3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others. Besides their academic influence, these algorithms formed ...

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