An efficient weight optimization algorithm for image representation using nonorthogonal basis images

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4 Citations (Scopus)

Abstract

Though image coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio, they have not been widely employed due to their very high computational complexity of existing realization approaches. This paper presents a new realization approach for mixed-transform image representation. Computational complexity can be greatly reduced compared with existing approaches.
Original languageEnglish
Pages (from-to)193-195
Number of pages3
JournalIEEE Signal Processing Letters
Volume5
Issue number8
DOIs
Publication statusPublished - 1 Dec 1998

Keywords

  • Image coding
  • Image representation
  • Matching pursuits
  • Nonorthogonal transform

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering

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