Compression

Group: 4 #group-4

Relations

  • Lossless Compression: Lossless compression preserves all original data, suitable for text files, executable files, and other data that cannot tolerate any loss.
  • Compression Algorithms: Compression algorithms are mathematical formulas or procedures used to perform data compression and decompression.
  • Image Compression: Image compression techniques are used to reduce the file size of digital images while maintaining acceptable image quality.
  • File Conversion: Compression techniques can be applied during file conversion to reduce file size.
  • Rar: Rar is a proprietary archive file format that supports data compression, spanning, and solid compression.
  • Gzip: Gzip is a compression utility designed for compressing and decompressing files.
  • Fold Valley: Compressional forces acting on rock layers can cause folding and the formation of fold valleys.
  • File Size Reduction: The primary goal of compression is to reduce the size of files or data.
  • Lossy Compression: Lossy compression techniques discard some data to achieve higher compression ratios, suitable for multimedia files.
  • Data Reduction: Compression is a technique for data reduction, reducing the size of data for efficient storage or transmission.
  • Storage Optimization: Compression techniques can help optimize storage space by reducing the size of files or data stored on disks or other storage media.
  • Zip: Zip is a popular file format and compression utility used for lossless data compression.
  • Compression Ratio: The compression ratio is a measure of how much smaller the compressed data is compared to the original uncompressed data.
  • Decompression: Decompression is the process of restoring compressed data to its original, uncompressed form.
  • Encoding: Compression involves encoding data using specialized algorithms to represent it in a more compact form.
  • Bandwidth Optimization: Compression can help optimize bandwidth usage by reducing the amount of data that needs to be transmitted over a network.
  • Audio Compression: Audio compression techniques are used to reduce the size of digital audio files while preserving sound quality.
  • Video Compression: Video compression algorithms are used to reduce the size of digital video files for efficient storage and transmission.