Nonseparable qmf pyramids

Eero P. Simoncell, Edward H. Adelson

Research output: Contribution to journalArticlepeer-review


It is widely recognized that effective image processing and machine vision must involve the use of information at multiple scales, and that models of human vision must be multi-scale as well. The most commonly used image representations are linear transforms, in which an image is decomposed into a sum of elementary basis functions. Besides being well understood, linear transformations which can be expressed in terms of convolutions provide a useful model of early processing in the human visual system. The following properties are valuable for linear transforms that are to be used in image processing and vision modelling:.

Original languageEnglish (US)
Pages (from-to)1242-1246
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Nov 1 1989

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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