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  2. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, quantization, DCT and linear prediction to reduce the amount of information used to represent the uncompressed data. Lossy audio compression algorithms provide higher compression and are used in numerous audio applications including Vorbis ...

  3. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    An important caveat about lossy compression (formally transcoding), is that editing lossily compressed files causes digital generation loss from the re-encoding. This can be avoided by only producing lossy files from (lossless) originals and only editing (copies of) original files, such as images in raw image format instead of JPEG. If data ...

  4. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    It is also often used as a component within lossy data compression technologies (e.g. lossless mid/side joint stereo preprocessing by MP3 encoders and other lossy audio encoders). [2] Lossless compression is used in cases where it is important that the original and the decompressed data be identical, or where deviations from the original data ...

  5. Lossless join decomposition - Wikipedia

    en.wikipedia.org/wiki/Lossless_join_decomposition

    In database design, a lossless join decomposition is a decomposition of a relation into relations , such that a natural join of the two smaller relations yields back the original relation. This is central in removing redundancy safely from databases while preserving the original data. [ 1 ]

  6. Discrete cosine transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_cosine_transform

    Uncompressed digital media as well as lossless compression have high memory and bandwidth requirements, which is significantly reduced by the DCT lossy compression technique, [7] [8] capable of achieving data compression ratios from 8:1 to 14:1 for near-studio-quality, [7] up to 100:1 for acceptable-quality content. [8]

  7. Transform coding - Wikipedia

    en.wikipedia.org/wiki/Transform_coding

    Transform coding is a type of data compression for "natural" data like audio signals or photographic images.The transformation is typically lossless (perfectly reversible) on its own but is used to enable better (more targeted) quantization, which then results in a lower quality copy of the original input (lossy compression).

  8. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossy methods are especially suitable for natural images such as ...

  9. Comparison of graphics file formats - Wikipedia

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

    Lossy and lossless Both 8 bpc Yes Yes Yes No Yes No Yes Yes — No AVIF: AV1 Lossy and lossless: Raster 12 bpc No Yes Yes No No Yes No Yes Yes Yes No BMP: None, RLE, JPEG, and PNG Raster 16 bpc Yes Yes No No No No No Yes No No No BPG: HEVC, Lossy and lossless Raster 14 bpc No Yes Yes No No Yes — Yes — — CD5: Lossless, ACSC Both 16 bpc Yes ...