Transform coding

A type of data compression designed for natural data that uses knowledge of the application domain to choose which information to discard.

Transform coding is a type of data compression designed 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).

In transform coding, knowledge of the application is used to choose information to discard, thereby lowering its bandwidth. The remaining information can then be compressed via a variety of methods. When the output is decoded, the result may not be identical to the original input but is expected to be close enough for the purpose of the application.

 

resources
  • Transform coding - topics - Stanford University on stanford.edu
  • Theoretical Foundations of Transform Coding on stanford.edu
  • Transform Coding (lossy) and JPEG Image Compression on hmc.edu
  • Introduction to Transform Coding on edu.tw
  • What is Transform Coding on igi-global.com
source
Adapted from content published on wikipedia.org
Last modified on May 25, 2021, 1:53 pm
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