Digital media technologies have become an integral part of the way we create, communicate, and consume information. At the core of these technologies are source coding methods that are described in this text. Based on the fundamentals of information and rate distortion theory, the most relevant techniques used in source coding algorithms are described: entropy coding, quantization as well as predictive and transform coding. The emphasis is on algorithms that are also used in video coding, which will be described in the other text of this two-part monograph.
PREFERRED CITATION OF DESCRIBED MATERIALS
Preferred Citation
Thomas Wiegand and Heiko Schwarz (2010) "Source Coding: Part I of Fundamentals of Source and Video Coding", Foundations and Trends in Signal Processing: Vol. 4: No 1-2, pp 1-222.
PARALLEL TITLE PROPER
Parallel Title
Fundamentals of source and video coding
Parallel Title
Part I of fundamentals of source and video coding
TOPICAL NAME USED AS SUBJECT
Coding theory.
Data compression (Telecommunication)
Signal processing.
Coding theory.
COMPUTERS-- Information Theory.
Digital video.
TECHNOLOGY & ENGINEERING-- Signals & Signal Processing.