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  2. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    WebP is an open image format released in 2010 that uses both lossless and lossy compression. It was designed by Google to reduce image file size to speed up web page loading: its principal purpose is to supersede JPEG as the primary format for photographs on the web. WebP is based on VP8's intra-frame coding and uses a container based on RIFF.

  3. WebP - Wikipedia

    en.wikipedia.org/wiki/WebP

    WebP is a raster graphics file format developed by Google intended as a replacement for JPEG, PNG, and GIF file formats. It supports both lossy and lossless compression, [8] as well as animation and alpha transparency. Google announced the WebP format in September 2010, and released the first stable version of its supporting library in April ...

  4. Comparison of graphics file formats - Wikipedia

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

    superseded by Jpeg XL Yes FPX: FlashPix (1.0.2) .fpx ... .webp image/webp General purpose ... Lossy and lossless bi-orthogonal transform Raster 32 bpc No Yes Yes Yes ...

  5. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images.. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifa

  6. JPEG - Wikipedia

    en.wikipedia.org/wiki/JPEG

    Continuously varied JPEG compression (between Q=100 and Q=1) for an abdominal CT scan. JPEG (/ ˈ dʒ eɪ p ɛ ɡ / JAY-peg, short for Joint Photographic Experts Group and sometimes retroactively referred to as JPEG 1) [2] [3] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography.

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    The most common form of lossy compression is a transform coding method, the discrete cosine transform (DCT), [2] which was first published by Nasir Ahmed, T. Natarajan and K. R. Rao in 1974. [3] DCT is the most widely used form of lossy compression, for popular image compression formats (such as JPEG ), [ 4 ] video coding standards (such as ...

  8. Wikipedia:Preparing images for upload - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Preparing_images...

    Existing JPEG files can be compressed a bit more, with no additional loss in quality, using jpegtran -optimize. This results in a smaller file, but the compression is slower. Jpegtran is part of libjpeg. A package called littleutils contains a script called opt-jpg that automates JPEG optimization, using jpegtran as the underlying engine.

  9. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Transform coding dates back to the late 1960s, with the introduction of fast Fourier transform (FFT) coding in 1968 and the Hadamard transform in 1969. [10] An important development in image data compression was the discrete cosine transform (DCT), a lossy compression technique first proposed by Nasir Ahmed, T. Natarajan and K. R. Rao in 1973. [11]

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