TL;DR
This paper surveys source-coding techniques, emphasizing the foundational role of Shannon's separation theorem in enabling independent design of image compression and channel coding methods like JPEG, Turbo, and LDPC.
Contribution
It provides a comprehensive overview of source-coding methods and their integration with channel coding, highlighting the enduring relevance of Shannon's separation theorem.
Findings
Highlights the importance of Shannon's separation theorem in modern communication systems
Reviews various source-coding techniques and their applications
Discusses the independence of source and channel coding in system design
Abstract
Shannon separation theorem lays the foundation for traditional image compression and transmission schemes, which consist of JPEG type image compression methods and the usual channel coding schemes such as Turbo and LDPC codes. One of the advantages of the separate design is that each of the two components, channel coding and source coding can be handled independently without considering the other, which is the base of decades-long technologies.
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Taxonomy
TopicsAdvanced Data Compression Techniques · Technology and Security Systems · Advanced Computational Techniques and Applications