27 August 1992 Perceptually based digital processing techniques for noise reduction in computed-tomography images
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Escalante-Ramirez, Boris Escalante-Ramirez, Jean-Bernard Martens, Jean-Bernard Martens, Huib de Ridder, Huib de Ridder, "Perceptually based digital processing techniques for noise reduction in computed-tomography images", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); doi: 10.1117/12.135975; https://doi.org/10.1117/12.135975
PROCEEDINGS
12 PAGES


SHARE
Back to Top