Perceptually based digital processing techniques for noise reduction in computed-tomography images

Boris Escalante-Ramirez; Jean-Bernard Martens; Huib de Ridder

doi:10.1117/12.135975

27 August 1992 Perceptually based digital processing techniques for noise reduction in computed-tomography images

Boris Escalante-Ramirez, Jean-Bernard Martens, Huib de Ridder

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135975
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

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.

Citation Download Citation

Boris Escalante-Ramirez, Jean-Bernard Martens, and 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); https://doi.org/10.1117/12.135975

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