A resizing algorithm with two-stage realization for DCT-based transcoding

Haiyan Shu, Lap Pui Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

In video transcoding, arbitrary resizing is always desired for end users with different display capabilities. In this paper, a two-stage resizing structure is proposed for arbitrary resizing. It gives a general solution for the realization of arbitrary resizing in the transform domain. Two constraints are given for the selection of parameter set to benefit the anti-aliasing and picture quality. Illustrative examples show that our proposed two-stage resizing structure, with the qualified parameter sets, can provide an appropriate solution for arbitrary resizing.

Original languageEnglish
Pages (from-to)248-253
Number of pages6
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume17
Issue number2
DOIs
Publication statusPublished - Feb 2007
Externally publishedYes

Keywords

  • Anti-aliasing
  • Arbitrary resizing
  • Two-stage implementation
  • Video transcoding

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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