Data compression

  • Data compression has the goal of reducing the number of bits required to store or convey text, numeric, binary, image, sound, or other data. High performance is obtained by exploiting statistical properties of the data.
  • The reduction comes at the expense of some computational effort to compress and decompress.
  • Most data compression techniques, including run-length encoding (RLE) and Lempel-Ziv-Welch (LZW), accomplish compression by taking advantage of repeated strings; performance is highly dependent upon the data being compressed.
  • Data compression is the process of encoding, restructuring or otherwise modifying data in order to reduce its size. Fundamentally, it involves re-encoding information using fewer bits than the original representation.
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