Research article summary (published 30 Mar 2003):

Orientational minimal redundancy wavelets: from edge detection to perception.

Full Abstract

Natural images are complex but very structured objects and, in spite of its complexity, the sensory areas in the neocortex in mammals are able to devise learned strategies to encode them efficiently. How is this goal achieved? In this paper, we will discuss the multiscaling approach, which has been recently used to derive a redundancy reducing wavelet basis. This kind of representation can be statistically learned from the data and is optimally adapted for image coding; besides, it presents some remarkable features found in the visual pathway. We will show that the introduction of oriented wavelets is necessary to provide a complete description, which stresses the role of the wavelets as edge detectors.

Author information

Author/s: Turiel, Antonio (A); Nadal, Jean-Pierre (JP); Parga, Néstor (N);

Affiliation: Air Project--INRIA, Domaine de Voluceau BP105, Cedex 78153, Le Chesnay, France. antonio.turiel(-atsign-)inria.fr

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Vision research (Vision Res), published in England. (Language: eng)

Reference: 2003-Apr; vol 43 (issue 9) : pp 1061-79

Dates: Created 2003/04/04; Completed 2003/07/21; Revised 2006/11/15;

PMID: 12676248, status: MEDLINE (last retrieved date: 2/18/2009)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MeSH Headings (categories) shown below.

Computational Biology Humans Image Processing, Computer-Assisted

Image Processing, Computer-Assisted Models, Psychological Visual Perception - physiology

Note: Bold headings indicate primary MeSH headings or qualifiers.

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