In search of "better-than-DCT" unitary transforms for encoding of residual signals

Shuyuan Zhu, Siu Kei Au Yeung, Bing Zeng

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

It is well known that the discrete cosine transform (DCT) closely approximates the optimal KarhunenLove transform (KLT) under the first-order stationary Markov condition with a strong inter-pixel correlation. However, if the inter-pixel correlation is weak or becomes negative, transforms other than the DCT would possibly become better. In this letter, we present a design framework for finding new unitary transforms according to two principles: 1) they are indeed more efficient than the DCT in encoding of signals with a weak or negative inter-pixel correlation (e.g., the residual signals after motion-compensation or intra- prediction) and 2) each has a fixed transform matrix (i.e., signal-independent) and can be implemented as efficiently as the DCT. Some of the new transforms will be used to demonstrate an improved RD performance in the video coding scenario.

Original languageEnglish
Article number5585717
Pages (from-to)961-964
Number of pages4
JournalIEEE Signal Processing Letters
Volume17
Issue number11
DOIs
Publication statusPublished - 2010
Externally publishedYes

Keywords

  • Discrete cosine transform
  • KarhunenLove transform
  • RD coding performance

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