Adaptive postprocessors with DCT-based block classifications

Chung Bin Wu, Bin Da Liu, Jar Ferr Yang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

In this paper, an adaptive postprocessor figured with discrete cosine transform (DCT)-based block classification to effectively remove the so-called blocky effect from compressed video sequences is proposed. The proposed DCT-based detection algorithms for both intraframes and interframes require much lower computation complexity than the spatial-domain approaches. In order to preserve the edge information, the adaptive postprocessor is also designed with a DCT-based edge detection mechanism such that a one-dimensional median filter can be adaptively adjusted to match with the edge orientation. Simulation results show that the proposed DCT-based detection algorithms accurately classifies smooth, edge, or nonsmooth blocks to help the adaptive postprocessor to effectively remove the blocky effect and sharply preserve the edge information.

Original languageEnglish
Pages (from-to)365-375
Number of pages11
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume13
Issue number5
DOIs
Publication statusPublished - 2003 May 1

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

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