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New spatial based MRI image de-noising algorithm

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Abstract

Nowadays, fast scan techniques are used to reduce scanning times. These techniques raise scanning noise level in MRI systems. Instead of progress made in image de-noising, still, it is challenging. A novel edge-preserving neighbourhood filter for image enhancement is proposed. The main focus of this paper is to propose an adaptive filtering function to account for the image content while try to preserve edge of image. Proposed algorithm uses the edges of image to do edge-preserving neighbourhood filtering. Contribution of a sample, in neighbourhood of a pixel, in filtering, depends on the space between the pixel and the sample. In fact, the sample which there is edge between it and the pixel don’t contribute in the grey level estimation. Promising experimental results on simulated and real brain images and comparison with state-of-art de-noising algorithm demonstrate the potential of proposed algorithm.

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Authors and Affiliations

  1. Department of Computer, Faculty of Engineering, Tabriz University, Tabriz, Azerbaijane shargi, Iran

    M. A. Balafar

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  1. M. A. Balafar
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Correspondence to M. A. Balafar.

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Balafar, M.A. New spatial based MRI image de-noising algorithm. Artif Intell Rev 39, 225–235 (2013). https://doi.org/10.1007/s10462-011-9268-0

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