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  2. pngcrush - Wikipedia

    en.wikipedia.org/wiki/Pngcrush

    The pixel data in a PNG file is compressed using LZ77 algorithm (which tries to find repeated byte sequences in the source data), and then further compressed with Huffman algorithm. This combination is referred to as deflate compression. Before compressing, non-destructive delta filters are applied on the pixel data.

  3. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    Poor compression increases the PNG file size but does not affect the image quality or compatibility of the file with other programs. When the color depth of a truecolor image is reduced to an 8-bit palette (as in GIF), the resulting image data is typically much smaller. Thus a truecolor PNG is typically larger than a color-reduced GIF, although ...

  4. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression is a type of data compression applied to digital images, ... Whole-image palette, typically 256 colors, used in GIF and PNG file formats.

  5. PNGOUT - Wikipedia

    en.wikipedia.org/wiki/PNGOUT

    PNGOUT is a freeware command line optimizer for PNG images written by Ken Silverman. The transformation is lossless, meaning that the resulting image is visually identical to the source image. According to its author, this program can often get higher compression than other optimizers by 5–10%. [3]

  6. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...

  7. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Lossless compression should be used to avoid accumulating stages of re-compression when editing images. Lossy compression algorithms preserve a representation of the original uncompressed image that may appear to be a perfect copy, but is not a perfect copy. Often lossy compression is able to achieve smaller file sizes than lossless compression.