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Proceedings Paper

Perceptually based digital processing techniques for noise reduction in computed-tomography images
Author(s): Boris Escalante-Ramirez; Jean-Bernard Martens; Huib de Ridder
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Paper Abstract

In this paper we describe how a recently developed model for image representation based on polynomial transforms can be applied in image restoration. Two related algorithms for noise reduction in Computed Tomography (CT) images are presented. They show the efficiency of the model to detect and restore edges embedded in noise by adapting the amount of noise reduction to the local image content in a multiresolution fashion. A subjective evaluation of the noise reduction techniques is used to optimize the parameter values of the algorithms. Results of this evaluation are presented.

Paper Details

Date Published: 27 August 1992
PDF: 12 pages
Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); doi: 10.1117/12.135975
Show Author Affiliations
Boris Escalante-Ramirez, Institute for Perception Research (Netherlands)
Jean-Bernard Martens, Institute for Perception Research (Netherlands)
Huib de Ridder, Institute for Perception Research (Netherlands)


Published in SPIE Proceedings Vol. 1666:
Human Vision, Visual Processing, and Digital Display III
Bernice E. Rogowitz, Editor(s)

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