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  2. Free Lossless Image Format - Wikipedia

    en.wikipedia.org/wiki/Free_Lossless_Image_Format

    The format supports an optional alpha channel like PNG (but unlike JPEG); and progressive coding, similar to PNG (unlike it, progressive compression doesn't increase file-size), but as FLIF's algorithm is more complex (and partly, may not have had as much tuning of the implementation yet), it has a higher computational cost; at least lower ...

  3. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Even for photographs – where JPEG is often the choice for final distribution since its lossy compression typically yields smaller file sizes – PNG is still well-suited to storing images during the editing process because of its lossless compression. PNG provides a patent-free replacement for GIF (though GIF is itself now patent-free) and ...

  4. Comparison of graphics file formats - Wikipedia

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

    No CGM: Computer Graphics Metafile .cgm image/cgm CGM files are editable using programs that support the format, such as IBM Lotus Freelance Graphics, Inkscape, etc. CIN: Cineon .cin image/cineon CPC: Cartesian Perceptual Compression Cartesian Products, Inc. .cpc, .cpi image/cpi Highly compressed raster imaging format. No DCS: Kodak DCS Pro RAW ...

  5. PNG - Wikipedia

    en.wikipedia.org/wiki/PNG

    Portable Network Graphics (PNG, officially pronounced / p ɪ ŋ / [2] [3] PING, colloquially pronounced / ˌ p iː ɛ n ˈ dʒ iː / [4] PEE-en-JEE) is a raster-graphics file format that supports lossless data compression. [5] PNG was developed as an improved, non-patented replacement for Graphics Interchange Format (GIF)—unofficially, the ...

  6. 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.

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    The most widely used lossy compression algorithm is the discrete cosine transform (DCT), first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974. Lossy compression is most commonly used to compress multimedia data (audio, video, and images), especially in applications such as streaming media and internet telephony. By contrast ...