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The main use of pngcrush is for reducing the size of the image data contained in the IDAT section. 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 ...
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According to its author, this program can often get higher compression than other optimizers by 5–10%. [3] It is possible to compress some inflated PNGs to a size below 1% of the original file. [4] PNGOUT was also available as a plug-in for the freeware image viewer IrfanView and can be enabled as an option when saving files.
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. Most lossy compression algorithms allow for variable compression that trades image quality for file size.
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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.
On small images, GIF can achieve greater compression than PNG (see the section on filesize, below). On most images, except for the above case, a GIF file has a larger size than an indexed PNG image. PNG gives a much wider range of transparency options than GIF, including alpha channel transparency.
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