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

Yuk Hee Chan, W.C. Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic research

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 complicity 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
Title of host publication[Missing Source Name from PIRA]
PublisherIEEE
ISBN (Print)0780344553
Publication statusPublished - 1998

Keywords

  • Algorithms
  • Computational complexity
  • Image analysis
  • Image quality
  • Image reconstruction
  • Mathematical transformations
  • Optimization
  • Vector quantization

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