R-D performance upper bound of transform coding for 2-D directional sources

Shuyuan Zhu, Siu Kei Au Yeung, Bing Zeng

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Traditionally, any 2-D transform (such as 2-D DCT) is implemented through two separable 1-D transforms along the vertical and horizontal dimensions. Such a framework is however not most suitable for a 2-D directional source in which the dominant directional information is neither horizontal nor vertical. In this letter, we attempt to determine the R-D performance upper bound for block-based transform coding schemes applied on such 2-D directional sources. It is not a surprise that the Karhunen-Loève transform (KLT) plays a critical role here. Specifically, we show that a nonseparableKLT can be determined directly from the given 2-D directional source model to yield the R-D performance upper bound. We also show that there exists a significant gap between this upper bound and the R-D performance that can be achieved by using the traditional 2-D DCT.

Original languageEnglish
Article number2026115
Pages (from-to)861-864
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number10
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Discrete cosine transform
  • Karhunen-Loève transform
  • R-D performance
  • Transform coding

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