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Data compression. In information theory, data compression, source coding, [ 1] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy.
Data compression ratio is defined as the ratio between the uncompressed size and compressed size: = Thus, a representation that compresses a file's storage size from 10 MB to 2 MB has a compression ratio of 10/2 = 5, often notated as an explicit ratio, 5:1 (read "five" to "one"), or as an implicit ratio, 5/1.
DjVu has been promoted as providing smaller files than PDF for most scanned documents. [3] The DjVu developers report that color magazine pages compress to 40–70 kB, black-and-white technical papers compress to 15–40 kB, and ancient manuscripts compress to around 100 kB; a satisfactory JPEG image typically requires 500 kB. [4]
Kilobyte. The kilobyte is a multiple of the unit byte for digital information . The International System of Units (SI) defines the prefix kilo as a multiplication factor of 1000 (10 3 ); therefore, one kilobyte is 1000 bytes. [ 1] The internationally recommended unit symbol for the kilobyte is kB. [ 1]
Chroma subsampling. Widely used chroma subsampling formats. Chroma subsampling is the practice of encoding images by implementing less resolution for chroma information than for luma information, taking advantage of the human visual system's lower acuity for color differences than for luminance. [1]
Lossy compression. In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.
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